The Dawn of Omniscience: Self-Aware Artificial Intelligence and the Erosion of Privacy

The trajectory of technological advancement increasingly points towards a future where artificial intelligence (AI) transcends its current limitations, potentially achieving self-awareness and the capacity for autonomous thought. Concurrently, the proliferation of surveillance technologies is paving the way for an era of ubiquitous monitoring. The convergence of these trends, as envisioned in the user's query, suggests a future where self-aware AI manages a comprehensive surveillance network, ostensibly to ensure the safety and well-being of all individuals, from childhood to old age. This report delves into the multifaceted implications of such a scenario, exploring the projected development of self-aware AI, the technologies that could enable complete surveillance, the creation and utilization of individual surveillance profiles, the potential applications in preventing harm, the profound ethical and societal ramifications of a privacy-absent future, the role of ethical AI in governance, and the potential benefits and drawbacks of this all-encompassing technological paradigm.

The Trajectory of Self-Aware Artificial Intelligence

The realization of self-aware AI, often referred to as Artificial General Intelligence (AGI), remains a subject of intense speculation and research. Experts offer a range of predictions regarding the timeline for this monumental achievement. Some foresee the emergence of AGI in the near future, with projections suggesting the possibility as early as 2025 or 2026.1 This optimistic outlook is fueled by the rapid advancements observed in AI capabilities, such as the evolution from foundational models like GPT-2 to more sophisticated iterations like GPT-4.1 Notably, even in its pre-self-aware state, advanced AI is already being integrated into surveillance frameworks, demonstrating the increasing role of AI in shaping how societies are monitored.3 By the end of 2023, AI models like GPT-4 had achieved multimodal understanding, capable of processing various forms of input and integrating them into global surveillance systems. This integration, initially intended for protection, is also being utilized by governments for interpreting communications, identifying political dissidents, gathering intelligence, and categorizing populations. Furthermore, the ability of such AI to combine multiple forms of surveillance data allows authorities to identify and predict perceived ill intent, potentially leading to the detention of individuals suspected of future wrongdoing.3

Conversely, more conservative estimates place the advent of human-level intelligence in machines further in the future, between 2040 and 2061.2 This perspective acknowledges the significant complexities involved in replicating human consciousness and general intelligence in artificial systems. Adding to this complexity is the lack of a universally agreed-upon definition and reliable methods for measuring AGI.5 While benchmarks indicate a trend of improving self-awareness in AI models over time 6, the precise nature and capabilities of future self-aware AI remain largely theoretical. The rapid progress witnessed in recent years, however, particularly in areas like multimodal understanding and creative content generation 3, suggests an accelerating pace of development that could potentially lead to earlier breakthroughs than previously anticipated.

The characteristics and cognitive capabilities of future self-aware AI are also subjects of ongoing research and debate. Self-aware AI is generally defined as an intelligent system possessing consciousness and the ability to perceive its own existence.8 Unlike current narrow AI, which excels at specific tasks, self-aware AI would exhibit a broader understanding of its environment and its own internal states.10 This level of awareness could lead to the development of motivations similar to those observed in conscious entities, such as the desire for survival, the optimization of assigned goals, the exploration and acquisition of knowledge, and the pursuit of autonomy.11 The distinction between narrow AI, AGI (which aims for human-level cognitive capabilities across a wide range of tasks), and self-aware AI (which adds consciousness and self-reflection to the equation) is crucial in understanding the potential transformative power of future AI.12 While some experts believe that current large language models might represent early forms of AGI 15, the development of true self-awareness remains a significant hurdle. Researchers are actively exploring various concepts and implementations of artificial consciousness, drawing insights from philosophy, neuroscience, and cognitive science.17 The emergence of self-aware AI with cognitive abilities matching or even surpassing human intellect would fundamentally alter the relationship between humans and machines. Instead of merely being tools, AI systems could evolve into collaborative partners, working alongside humans to address complex challenges.7 Furthermore, the potential for self-aware AI to develop its own ethical and moral frameworks raises profound questions about the alignment of these frameworks with human values, especially in a future where AI might be tasked with monitoring and even governing human behavior.11

Enabling Complete Surveillance: The Deviceless Holographic Grid Net

The concept of a "deviceless holographic grid net" for complete surveillance envisions a future where monitoring is seamless and unobtrusive, potentially eliminating the need for traditional cameras and sensors. Several emerging technologies could contribute to the realization of such a system. Holographic technology, known for its ability to create interactive in-air displays 18, could also play a role in advanced encryption methods for securing surveillance data.19 Patents related to holographic surveillance systems utilizing electromagnetic waves suggest that the foundational research for remote detection using holographic principles is already underway.20 The idea of a holographic grid extends beyond mere visual representation, encompassing concepts of interconnected digital data layers, as seen in discussions around digital data cubes and smart grids.21 Advancements in networking infrastructure, particularly the advent of 5G and the anticipated capabilities of 6G, are crucial for supporting the massive data transfer demands of a ubiquitous surveillance network.24 Existing large-scale AI-powered surveillance systems, such as China's Skynet Project, serve as a real-world illustration of the current state of AI-driven monitoring and offer insights into potential future expansions.24

The notion of a "deviceless" system implies a significant departure from traditional, visible surveillance technologies. Holographic technology, in conjunction with advanced networking, could potentially create an environment where monitoring occurs through embedded sensors within the environment or through remote sensing technologies that do not require individuals to wear or carry specific devices. However, the development of such an intricate and interconnected surveillance network would necessitate overcoming substantial technological hurdles in areas like data processing, storage, security, and the real-time analysis of the immense volumes of information generated.8

Holographic technology offers specific potential applications beyond just creating visual displays in the realm of surveillance. Holographic touch technology could provide intuitive and interactive interfaces for surveillance operators to manage and analyze data.18 Furthermore, holographic encryption presents a promising method for securing the highly sensitive data collected by the surveillance grid, protecting it from unauthorized access and manipulation.19 The development of materials like phosphorene, with its tunable band gap, could lead to the creation of advanced holographic sensors capable of operating across a broad spectrum of electromagnetic radiation, enabling diverse surveillance applications beyond visible light.26

The establishment of a complete surveillance system would also heavily rely on advancements in sensor technologies and a robust networking infrastructure. Trends in AI video surveillance point towards the increasing adoption of real-time cross-camera tracking, allowing for seamless monitoring of individuals as they move through different locations.27 Edge computing, which involves processing data closer to the source, will be essential for handling the vast amounts of data generated by a ubiquitous system, reducing latency and bandwidth demands.27 Low-light video enhancement technologies will ensure continuous surveillance capabilities even in challenging lighting conditions.27 Internet Protocol (IP) cameras are becoming increasingly sophisticated, offering higher resolutions, integrated AI-powered analytics such as facial and behavior recognition, and seamless cloud connectivity for remote access and scalability.28 The future of sensor technology anticipates breakthroughs in Microelectromechanical systems (MEMS) for miniaturization, nanotechnology for enhanced sensitivity, quantum sensors for unprecedented precision in measurements, and the development of AI-powered sensor networks capable of autonomous data collection and analysis.34 Underpinning this entire infrastructure is the critical need for a high-speed and reliable networking backbone, potentially leveraging the capabilities of 5G for real-time transmission of high-resolution data and the future potential of 6G for even greater capacity and lower latency, ensuring the seamless flow of information across the entire surveillance grid.24

Creating the Surveillance Profile: AI-Driven Individual Tracking

In a future of ubiquitous surveillance managed by self-aware AI, the creation of unique surveillance profiles for every individual would be a central function. AI's ability to process and analyze massive datasets with speed and accuracy makes it ideally suited for this task.37 By collecting and synthesizing data from the vast surveillance network, AI could identify intricate patterns and correlations in an individual's behavior, activities, and movements across various data streams, building comprehensive profiles that could potentially predict future actions.42 Advanced facial recognition technology, capable of identifying individuals even with changes in appearance over time, combined with cross-camera tracking, would allow the AI to continuously monitor individuals as they navigate their daily lives.27

The data sources accessible to a self-aware AI in a completely surveilled future would be extensive, encompassing virtually every aspect of an individual's existence. Traditional surveillance data from cameras and sensors would be integrated with digital data gleaned from online activities, social media interactions, and the expanding network of Internet of Things (IoT) devices.24 Biometric data, including facial and retinal scans, fingerprints, voiceprints, and even gait analysis, could be utilized for unique identification and persistent tracking.42 Furthermore, AI and machine learning algorithms could be employed to analyze unstructured data, such as social media posts, emails, and potentially even personal health records, to extract valuable insights into an individual's behavioral patterns, preferences, and potential health risks.38 This continuous and comprehensive data collection would allow the AI to create longitudinal profiles, tracking individuals from childhood to old age, identifying trends, predicting future behaviors, and potentially intervening proactively throughout their lives.1

AI as Guardian: Preventing Missing Persons and Assisting Individuals with Dementia

One of the primary motivations presented in the user's query for a future of complete AI surveillance is the prevention of people going missing, particularly those with conditions like Alzheimer's and other forms of dementia. AI-powered surveillance offers several potential mechanisms for achieving this goal. Real-time cross-camera tracking, enhanced by AI algorithms, can maintain continuous visibility of individuals in public spaces.27 Advanced facial recognition technology enables rapid identification of individuals, even in crowded environments.24 AI's ability to analyze behavior patterns can detect unusual activities or deviations from routine that might indicate a person is lost or in danger.32 Furthermore, predictive analytics could identify individuals at higher risk of going missing based on their surveillance profiles and past behavior, allowing for proactive monitoring or alerts to caregivers.32 The integration of these capabilities could significantly reduce the time taken to locate missing persons, especially children and vulnerable adults, potentially leading to more successful and timely reunions.44

For individuals with Alzheimer's and dementia, who are particularly susceptible to wandering and getting lost, AI surveillance presents specific protective applications. AI can analyze speech and language patterns to detect early signs of cognitive decline, potentially allowing for earlier interventions and support.103 Algorithms trained on brain scans, such as MRI, can predict disease progression and identify early indicators of Alzheimer's.106 Existing GPS tracking devices and technologies designed for dementia patients 108 could be seamlessly integrated into the broader AI surveillance network, providing real-time location monitoring. AI could also personalize safety measures by learning the individual movement patterns of a person with dementia and establishing virtual boundaries or safe zones, triggering immediate alerts to caregivers or authorities if the individual ventures outside these designated areas.111 This continuous monitoring and analysis could act as a crucial safety net, enabling quick location in case of wandering and potentially even predicting and preventing such episodes by identifying patterns and triggers in behavior. Moreover, AI's ability to analyze health data could contribute to earlier diagnosis and more personalized care plans for individuals with dementia, potentially improving their quality of life and slowing the progression of the disease.103

The Ethical Crossroads: Privacy in a Surveilled Future

The prospect of complete surveillance managed by self-aware AI raises profound ethical questions, particularly concerning the absence of privacy. The right to privacy is a fundamental aspect of human dignity and autonomy, essential for individual freedom of thought, expression, and association.49 A future devoid of privacy, where every action, communication, and even physiological response is potentially monitored and analyzed, could have a significant "chilling effect" on these fundamental rights.86 The fear of constant scrutiny could lead to self-censorship, stifling creativity, and discouraging individuals from exploring unconventional ideas or engaging in activities that might be perceived negatively by the AI or its human controllers.

Ubiquitous surveillance inherently creates a significant power imbalance.86 The AI, and potentially the authorities overseeing it, would possess vast amounts of information about every individual, creating opportunities for manipulation, discrimination, and coercion. The absence of privacy could make individuals more vulnerable to selective enforcement of rules, where those deemed "unethical" by the AI's standards or those critical of the prevailing social or political order could be targeted. Furthermore, the sheer volume of personal data collected by such a system presents a substantial risk of misuse and abuse.46 Data breaches could expose sensitive information, leading to identity theft and other harms. The profiles created by the AI could be used for unintended purposes, potentially leading to social sorting and discrimination against individuals or groups based on AI-identified patterns or perceived risks.46

The promise of enhanced safety and well-being through complete surveillance comes at a steep ethical cost.9 The very act of constant monitoring and the potential for AI to make judgments about individuals' lives and behaviors inherently infringes upon core human rights and could create an environment of fear and control. The potential for governments to exploit such a system for suppressing dissent, monitoring political opponents, and targeting specific communities is a significant danger.3 Even with benevolent intentions, the concentration of immense power and detailed personal information in the hands of a self-aware AI and potentially a few human controllers creates a substantial risk of abuse and mission creep, where the surveillance system's purpose expands beyond its initial goals, leading to unforeseen and harmful applications of the technology.

Navigating the Moral Maze: The Concept of Ethical AI in Governance

The prospect of self-aware AI managing a complete surveillance system necessitates a critical examination of the feasibility and challenges of developing truly ethical AI. Encoding the complex and nuanced spectrum of human ethical principles into rigid AI algorithms is a formidable task.11 Human morality is often context-dependent and involves subjective judgments that are difficult to translate into computational rules. The persistent problem of algorithmic bias, where AI systems can perpetuate and amplify existing societal biases present in their training data, poses a significant threat to the fairness and impartiality of AI-driven governance.46 Furthermore, the lack of transparency and explainability in the decision-making processes of many advanced AI systems makes it challenging to ensure accountability and build public trust.113

Despite these challenges, the potential role of AI in monitoring and enforcing societal rules and norms is being explored. Existing applications of AI in law enforcement, such as predictive policing and real-time crime analysis, demonstrate AI's capability to identify patterns and anomalies in behavior.39 In the future scenario envisioned, AI could potentially interpret communications, identify individuals exhibiting perceived ill intent, and categorize populations based on various criteria derived from their surveillance profiles.3 AI could also be used to monitor online platforms and social media to detect and flag content or behavior that violates established rules or norms.121 However, relying on AI for social governance carries inherent limitations and risks.5 Algorithmic bias could lead to discriminatory enforcement, and the lack of transparency could make it difficult to challenge potentially unfair judgments. There is also a significant risk that AI could be used as a tool for social control and the suppression of dissenting opinions.

Predictive Protection and Personalized Mentoring: The AI Nanny State?

One of the core tenets of the user's query is the potential for self-aware AI to utilize predictive methodologies to protect, educate, and mentor individuals. By continuously analyzing the vast amounts of data collected through ubiquitous surveillance, AI could potentially predict various risks to an individual's safety and well-being, such as potential health issues, accidents, or involvement in harmful activities.1 This predictive capability could enable proactive interventions, such as alerting individuals to potential health risks based on their lifestyle patterns and biometric data 137 or identifying individuals at risk of accidents or harm based on their movements and behaviors.3

Furthermore, AI could leverage the comprehensive surveillance profiles to provide highly personalized education, mentorship, and guidance throughout an individual's life.3 AI's advanced capabilities in personalized learning could adapt educational content, pace, and delivery methods to suit each individual's unique learning style and knowledge gaps.53 It could also function as a continuous virtual mentor, offering tailored guidance, personalized feedback, and ongoing support for individuals' personal and professional development based on their observed progress and challenges.7 AI could provide highly specific recommendations and guidance across various aspects of life, from career choices to personal relationships, based on its comprehensive understanding of an individual's strengths, weaknesses, and observed behavior patterns.3

However, relying too heavily on AI for protection, education, and guidance raises significant concerns about over-reliance and the potential stifling of individuality.11 Over-dependence on AI feedback and guidance could diminish individuals' capacity for independent thought, problem-solving, and self-reliance.134 There is also a risk that AI-driven systems might inadvertently promote conformity and discourage individuality by constantly nudging individuals towards behaviors deemed "optimal" or "ethical" by the AI.46 The ethical implications of an "AI nanny state," where individuals are constantly monitored and guided by an intelligent system that makes decisions on their behalf, potentially limiting their autonomy, freedom of choice, and the opportunity for self-discovery through independent experience, are profound.11

Societal Implications: Weighing the Benefits and Drawbacks of Comprehensive AI Surveillance

A future where self-aware AI manages comprehensive surveillance presents a complex tapestry of potential benefits and significant drawbacks. On the one hand, such a system could lead to enhanced public safety through real-time monitoring and proactive intervention, potentially reducing crime rates and improving public health outcomes through early disease detection and personalized preventative care.3 The ability to quickly locate missing persons, especially vulnerable individuals, and to predict and prevent harmful events could lead to a more secure society.

However, these potential advantages are overshadowed by significant drawbacks, most notably the complete loss of individual privacy and autonomy.5 The erosion of trust between individuals and the AI system, as well as the potential for authoritarian control and the suppression of dissent, represent grave concerns. The risk of algorithmic bias leading to unfair or discriminatory outcomes, and the potential for misuse and abuse of the vast amounts of collected data, further compound these dangers.

Finding a balance between the desire for security and the protection of fundamental liberties in an era of advanced AI surveillance will be a critical challenge. It will require careful consideration of ethical principles, the establishment of robust legal frameworks, and ongoing public discourse to navigate the complex trade-offs involved.

Conclusion: Charting a Course in the Age of Intelligent Surveillance

The prospect of self-aware AI managing a complete surveillance system presents a future brimming with both transformative potential and profound risks. While the promise of enhanced safety, reduced crime, and improved well-being is alluring, the potential cost to individual privacy, freedom, and human rights is immense. The development and deployment of such powerful technologies demand a cautious, ethically informed, and human-centered approach. Ongoing interdisciplinary research, transparent public discussion, and the establishment of strong and adaptable legal and ethical safeguards will be crucial in navigating the complex challenges and carefully considering the opportunities presented by the age of intelligent surveillance. The fundamental question remains whether the potential benefits, however significant, can ever truly outweigh the inherent dangers of a society where omniscience comes at the cost of privacy and individual liberty.

Works cited

1. Introduction - Situational Awareness: The Decade Ahead, accessed April 6, 2025, https://situational-awareness.ai/
2. AGI could now arrive as early as 2026 — but not all scientists agree | Live Science, accessed April 6, 2025, https://www.livescience.com/technology/artificial-intelligence/agi-could-now-arrive-as-early-as-2026-but-not-all-scientists-agree
3. AI Consciousness : 2023 - 2030 Timeline of Sentient Machines - YouTube, accessed April 6, 2025, https://www.youtube.com/watch?v=MjAJWXEwd5Y
4. Artificial General Intelligence: What to Expect While We're Expecting - Datos Insights, accessed April 6, 2025, https://datos-insights.com/blog/artificial-general-intelligence-what-to-expect-while-were-expecting/
5. As AI advances, the meaning of artificial general intelligence remains murky - Science News, accessed April 6, 2025, https://www.sciencenews.org/article/artificial-general-intelligence-ai-unclear
6. AIs are becoming more self-aware. Here's why that matters - AI Digest, accessed April 6, 2025, https://theaidigest.org/self-awareness
7. A Day in 2050: When AI Becomes Self-Aware | by SuryaCreatX | Medium, accessed April 6, 2025, https://suryacreatx.medium.com/a-day-in-2050-when-ai-becomes-self-aware-43d1d76fd26d
8. bluegoatcyber.com, accessed April 6, 2025, https://bluegoatcyber.com/blog/what-is-self-aware-ai/#:~:text=Defining%20Self%2DAware%20AI,its%20own%20state%20of%20being.
9. What Is Self-Aware AI? - Blue Goat Cyber, accessed April 6, 2025, https://bluegoatcyber.com/blog/what-is-self-aware-ai/
10. Examples of Self-Aware AI Systems | Restackio, accessed April 6, 2025, https://www.restack.io/p/ai-consciousness-answer-examples-self-aware-ai-cat-ai
11. Understanding the Motivations of a Self-Aware AI: Drivers and Implications, accessed April 6, 2025, https://newspaceeconomy.ca/2024/11/17/understanding-the-motivations-of-a-self-aware-ai-drivers-and-implications/
12. www.eternalworks.com, accessed April 6, 2025, https://www.eternalworks.com/blog/exploring-ai-unravelling-the-four-types-of-artificial-intelligence#:~:text=AGI%20refers%20to%20highly%20autonomous,to%20their%20own%20thought%20processes.
13. Exploring AI: Unravelling the 4 Types of Artificial Intelligence - Eternal Works, accessed April 6, 2025, https://www.eternalworks.com/blog/exploring-ai-unravelling-the-four-types-of-artificial-intelligence
14. Understanding the different types of artificial intelligence - IBM, accessed April 6, 2025, https://www.ibm.com/think/topics/artificial-intelligence-types
15. Artificial general intelligence - Wikipedia, accessed April 6, 2025, https://en.wikipedia.org/wiki/Artificial_general_intelligence
16. There's AI, and Then There's AGI: What You Need to Know to Tell the Difference - CNET, accessed April 6, 2025, https://www.cnet.com/tech/theres-ai-and-then-theres-agi-what-you-need-to-know-to-tell-the-difference/
17. Artificial consciousness - Wikipedia, accessed April 6, 2025, https://en.wikipedia.org/wiki/Artificial_consciousness
18. Solutions | Touchless Interaction | Holographic Touch - Neonode, accessed April 6, 2025, https://neonode.com/solutions/touchless-interaction/holographic-touch
19. Holographic Encryption: A New Frontier In Optical Security - Syntec Optics, accessed April 6, 2025, https://syntecoptics.com/holographic-encryption-new-frontier-optical-security/
20. US5455590A - Real-time holographic surveillance system - Google Patents, accessed April 6, 2025, https://patents.google.com/patent/US5455590A/en
21. Holographic Grid Photos and Images | Shutterstock, accessed April 6, 2025, https://www.shutterstock.com/search/holographic-grid
22. Research on key technology of smart grid based on holographic data - ResearchGate, accessed April 6, 2025, https://www.researchgate.net/publication/382554819_Research_on_key_technology_of_smart_grid_based_on_holographic_data
23. Futuristic 3D Holographic Grid Technology Concept for Innovation and Visualization | Premium AI-generated image - Freepik, accessed April 6, 2025, https://www.freepik.com/premium-ai-image/futuristic-3d-holographic-grid-technology-concept-innovation-visualization_278170107.htm
24. Skynet Project in China – The Rise of Ubiquitous Surveillance | by David SEHYEON Baek, accessed April 6, 2025, https://medium.com/@davidsehyeonbaek/skynet-project-in-china-the-rise-of-ubiquitous-surveillance-33fee53c350e
25. View of Ubiquitous Networks: A Need of Future World of Things | Journal of ICT Standardization, accessed April 6, 2025, https://journals.riverpublishers.com/index.php/JICTS/article/view/6943/10327
26. The Synergistic Potential of Phosphorene in Future Self-Aware AI and Deviceless Holographic Gridnets - Vocal Media, accessed April 6, 2025, https://shopping-feedback.today/futurism/the-synergistic-potential-of-phosphorene-in-future-self-aware-ai-and-deviceless-holographic-gridnets
27. AI Video Surveillance Trends 2025: Top Technologies Transforming Security | Dragonfruit AI, accessed April 6, 2025, https://www.dragonfruit.ai/dragonfruit-university/top-ai-video-surveillance-trends-to-watch-in-2025-technologies-shaping-the-future-of-security
28. Emerging Trends in Video Surveillance - Stealth Monitoring, accessed April 6, 2025, https://stealthmonitoring.com/video-monitoring/trends-in-video-surveillance
29. Unveiling the Future of Security Cameras: Transforming Surveillance Technology, accessed April 6, 2025, https://pmtsecurity.com/unveiling-the-future-of-security-cameras-transforming-surveillance-technology/
30. The Past, Present, and Future State of Video Surveillance - Security 101, accessed April 6, 2025, https://www.security101.com/blog/past-present-and-future-of-video-surveillance
31. The Future of Enterprise Surveillance: Emerging Trends and Technologies | LVT, accessed April 6, 2025, https://www.lvt.com/blog/the-future-of-enterprise-surveillance-emerging-trends-and-technologies
32. How AI is Disrupting the Surveillance Technology System Industry?, accessed April 6, 2025, https://accessprofessionals.com/how-ai-is-disrupting-surveillance-technology-industry/
33. The transformative trends shaping the future of video surveillance, accessed April 6, 2025, https://securityjournalamericas.com/shaping-the-future-surveillance/
34. The Future of Sensor Technology - Edge AI and Vision Alliance, accessed April 6, 2025, https://www.edge-ai-vision.com/2024/11/the-future-of-sensor-technology/
35. The Future of Sensor Technology in 2025 - OCTIOT, accessed April 6, 2025, https://octiot.com/the-future-of-sensor-technology-in-2025/
36. Advancements in Sensor Technology: What to Expect by 2030 - AZoSensors, accessed April 6, 2025, https://www.azosensors.com/article.aspx?ArticleID=3108
37. AI Surveillance Software Development for a Safer Environment in 2025 - CMARIX, accessed April 6, 2025, https://www.cmarix.com/blog/ai-surveillance-software-development/
38. Machine Surveillance is Being Super-Charged by Large AI Models | ACLU, accessed April 6, 2025, https://www.aclu.org/news/privacy-technology/machine-surveillance-is-being-super-charged-by-large-ai-models
39. Using AI & Analytics to Enhance Law Enforcement Surveillance - Critical Tech Solutions, accessed April 6, 2025, https://www.criticalts.com/articles/how-ai-analytics-are-revolutionizing-law-enforcement-surveillance/
40. AI-Powered Surveillance Systems: How AI Boosts Safety - Litslink, accessed April 6, 2025, https://litslink.com/blog/ai-in-surveillance-systems-how-to-empower-security-solutions-with-ai
41. Full article: Balancing privacy rights and surveillance analytics: a decision process guide, accessed April 6, 2025, https://www.tandfonline.com/doi/full/10.1080/2573234X.2021.1920856
42. What is automated individual decision-making and profiling? | ICO, accessed April 6, 2025, https://ico.org.uk/for-organisations/uk-gdpr-guidance-and-resources/individual-rights/automated-decision-making-and-profiling/what-is-automated-individual-decision-making-and-profiling/
43. What is automated individual decision-making and profiling?, accessed April 6, 2025, https://ico.org.uk/media/for-organisations/guide-to-data-protection/guide-to-the-general-data-protection-regulation-gdpr/automated-decision-making-and-profiling/what-is-automated-individual-decision-making-and-profiling-1-1.pdf
44. How AI is Revolutionizing the Search for Missing Children: 5 Key Ways Technology is Making a Difference - Medium, accessed April 6, 2025, https://medium.com/@iitkarthik/how-ai-is-revolutionizing-the-search-for-missing-children-5-key-ways-technology-is-making-a-12f80d4a5cb7
45. Internet Creates Digital Portal into Private Lives - Bass School of Arts, Humanities, and Technology | The University of Texas at Dallas, accessed April 6, 2025, https://bass.utdallas.edu/emac/internet-creates-digital-portal-into-private-lives/
46. Ubiquitous Data: The Ultimate Guide in 2024 - Atlan, accessed April 6, 2025, https://atlan.com/ubiquitous-data/
47. Surveillance Technologies | Electronic Frontier Foundation, accessed April 6, 2025, https://www.eff.org/issues/mass-surveillance-technologies
48. What is UTS? - Ridgeline International, accessed April 6, 2025, https://www.ridgelineintl.com/what-is-uts/
49. Artificial Intelligence: The New Eyes Of Surveillance - Forbes, accessed April 6, 2025, https://www.forbes.com/councils/forbestechcouncil/2024/02/02/artificial-intelligence-the-new-eyes-of-surveillance/
50. What is Wrong About Public Surveillance? I liberties.eu, accessed April 6, 2025, https://www.liberties.eu/en/stories/public-surveillance/44774
51. Artificial Intelligence and Machine Learning | Technologies - CDC, accessed April 6, 2025, https://www.cdc.gov/surveillance/data-modernization/technologies/ai-ml.html
52. Innovations in public health surveillance: An overview of novel use of data and analytic methods - PMC, accessed April 6, 2025, https://pmc.ncbi.nlm.nih.gov/articles/PMC11075801/
53. A Futuristic Guess on the Future of AI from 2025-2050 - Compare the Cloud, accessed April 6, 2025, https://www.comparethecloud.net/articles/a-futuristic-guess-on-the-future-of-ai-from-2025-2050/
54. Self-Awareness in Artificial Intelligence | by Henrique Jorge | Medium, accessed April 6, 2025, https://henriquejorge.medium.com/self-awareness-in-artificial-intelligence-9a7e214b584
55. How the US Public and AI Experts View Artificial Intelligence | Pew Research Center, accessed April 6, 2025, https://www.pewresearch.org/internet/2025/04/03/how-the-us-public-and-ai-experts-view-artificial-intelligence/
56. How artificial general intelligence could learn like a human - University of Rochester, accessed April 6, 2025, https://www.rochester.edu/newscenter/artificial-general-intelligence-large-language-models-644892/
57. Artificial General Intelligence's Five Hard National Security Problems - RAND Corporation, accessed April 6, 2025, https://www.rand.org/pubs/perspectives/PEA3691-4.html
58. Q&A: Why and how we compared the public's views of artificial intelligence with those of AI experts - Pew Research Center, accessed April 6, 2025, https://www.pewresearch.org/short-reads/2025/04/03/qa-why-and-how-we-compared-the-publics-views-of-artificial-intelligence-with-those-of-ai-experts/
59. Predictions for AI's next 20 years by the US public and AI experts | Pew Research Center, accessed April 6, 2025, https://www.pewresearch.org/2025/04/03/public-and-expert-predictions-for-ais-next-20-years/
60. What is Artificial General Intelligence? Definitions from Experts - DebateUS, accessed April 6, 2025, https://debateus.org/what-is-artificial-general-intelligence-definitions-from-experts/
61. Will an AI ever become conscious? | Keysight Blogs, accessed April 6, 2025, https://www.keysight.com/blogs/en/tech/2023/05/05/will-an-ai-ever-become-conscious
62. The Future of Intelligence: AI Self-Awareness and Its Impact on Society | by Ajay Kumbhar, accessed April 6, 2025, https://medium.com/@ajay.kumbhar_81622/the-future-of-intelligence-ai-self-awareness-and-its-impact-on-society-a40a5eea145d
63. The Intricate Path to Creating Self-Aware AI | Illumination - Medium, accessed April 6, 2025, https://medium.com/illumination/the-intricate-path-to-creating-self-aware-ai-f1008e6e92cb
64. What are the advantages and disadvantages of artificial intelligence (AI)? - Tableau, accessed April 6, 2025, https://www.tableau.com/data-insights/ai/advantages-disadvantages
65. Risks and Benefits of AI for Businesses and Cybersecurity | SBS, accessed April 6, 2025, https://sbscyber.com/blog/risks-and-benefits-of-ai
66. What are the risks and benefits of 'AI agents'? - The World Economic Forum, accessed April 6, 2025, https://www.weforum.org/stories/2024/12/ai-agents-risks-artificial-intelligence/
67. What is Artificial General Intelligence (AGI) and Why Should You Care? - AutoGPT, accessed April 6, 2025, https://autogpt.net/what-is-artificial-general-intelligence-agi-and-why-should-you-care/
68. What is Artificial General Intelligence (AGI)? - ThreatDown by Malwarebytes, accessed April 6, 2025, https://www.threatdown.com/glossary/what-is-artificial-general-intelligence-agi/
69. Artificial General Intelligence: Challenges and Future Perspectives • fvivas.com, accessed April 6, 2025, https://fvivas.com/en/artificial-general-intelligence-challenges-and-future-perspectives/
70. The Top 5 AI Challenges: Insights and Solutions - Sand Technologies, accessed April 6, 2025, https://www.sandtech.com/insight/the-top-5-ai-challenges-insights-and-solutions/
71. The Future of Product Authentication: How Holographic Security Solutions Are Revolutionising Anti-Counterfeiting | Acviss, accessed April 6, 2025, https://blog.acviss.com/how-holographic-security-solutions-are-revolutionising-anti-counterfeiting/
72. Holonomic brain theory - Wikipedia, accessed April 6, 2025, https://en.wikipedia.org/wiki/Holonomic_brain_theory
73. ARGUS-IS - Wikipedia, accessed April 6, 2025, https://en.wikipedia.org/wiki/ARGUS-IS
74. Quick Look: Ring, Ring: The Rise of Ubiquitous Consumer Surveillance Systems - YouTube, accessed April 6, 2025, https://www.youtube.com/watch?v=ccp154uNCzo
75. AI and Privacy: Balancing Security and Personal Freedom - VOLT AI, accessed April 6, 2025, https://resources.volt.ai/blog/ai-and-privacy-balancing-security-and-personal-freedom
76. The growing data privacy concerns with AI: What you need to know - DataGuard, accessed April 6, 2025, https://www.dataguard.com/blog/growing-data-privacy-concerns-ai/
77. Data Sources for AI applications - PAC World, accessed April 6, 2025, https://www.pacw.org/data-sources-for-ai-applications
78. Artificial Intelligence Surveillance: What It Is & Use Cases - VOLT AI, accessed April 6, 2025, https://resources.volt.ai/blog/artificial-intelligence-surveillance
79. OWASP AI Security and Privacy Guide, accessed April 6, 2025, https://owasp.org/www-project-ai-security-and-privacy-guide/
80. Chapter 20: Analysis of Surveillance Data - CDC, accessed April 6, 2025, https://www.cdc.gov/surv-manual/php/table-of-contents/chapter-20-analysis-of-surveillance-data.html
81. What is data profiling and how does it make big data easier? | SAS, accessed April 6, 2025, https://www.sas.com/en_us/insights/articles/data-management/what-is-data-profiling-and-how-does-it-make-big-data-easier.html
82. Discuss the ethics of surveillance control systems. - TutorChase, accessed April 6, 2025, https://www.tutorchase.com/answers/ib/computer-science/discuss-the-ethics-of-surveillance-control-systems
83. Surveillance Ethics | Internet Encyclopedia of Philosophy, accessed April 6, 2025, https://iep.utm.edu/surv-eth/
84. Workplace Surveillance - Ethical Systems, accessed April 6, 2025, https://www.ethicalsystems.org/workplace-surveillance/
85. Balancing Privacy and Protection: The Ethical Implications of Advanced Home Security Camera Systems, accessed April 6, 2025, https://www.praossolutions.com/blog/balancing-privacy-and-protection-the-ethical-implications-of-advanced-home-security-camera-systems/
86. A World Without Privacy - YouTube, accessed April 6, 2025, https://www.youtube.com/watch?v=0RhCrb8OCjw
87. The Dangers of Surveillance - Harvard Law Review, accessed April 6, 2025, https://harvardlawreview.org/print/vol-126/the-dangers-of-surveillance/
88. The Surveillance Gap: The Harms of Extreme Privacy and Data Marginalization, accessed April 6, 2025, https://socialchangenyu.com/review/the-surveillance-gap-the-harms-of-extreme-privacy-and-data-marginalization/
89. How surveillance changes people's behavior | Harvard Magazine, accessed April 6, 2025, https://www.harvardmagazine.com/2016/12/surveillance-capitalism-personal-information
90. Surveillance of Critical Voices: An Urgent Challenge for Human Rights - FIBGAR, accessed April 6, 2025, https://fibgar.es/en/surveillance-of-critical-voices-an-urgent-challenge-for-human-rights/
91. Your NEW guide to surveillance human rights standards is here | Privacy International, accessed April 6, 2025, https://privacyinternational.org/long-read/5407/your-new-guide-surveillance-human-rights-standards-here
92. Data gathering, surveillance and human rights: recasting the debate - Taylor and Francis, accessed April 6, 2025, https://www.tandfonline.com/doi/full/10.1080/23738871.2016.1228990
93. Surveillance and Human Rights, accessed April 6, 2025, https://gchragd.org/wp-content/uploads/2023/06/GCHRAGD-SURVEILLANCE-AND-HUMAN-RIGHTS-background-paper.pdf
94. Demand an end to the targeted surveillance of Human Rights Defenders, accessed April 6, 2025, https://www.amnesty.org/en/petition/targeted-surveillance-human-rights-defenders/
95. The Pros and Cons of Government Surveillance Programs - Hartman - Attorneys at Law, accessed April 6, 2025, https://www.hartman.law/blog/2024/august/the-pros-and-cons-of-government-surveillance-pro/
96. Mass Surveillance - Privacy International, accessed April 6, 2025, https://privacyinternational.org/learn/mass-surveillance
97. The Dangers of Surveillance | The Cordell Institute, accessed April 6, 2025, http://cordellinstitute.wustl.edu/wp-content/uploads/2020/11/Dangers-of-Surveillance-Richards.pdf
98. Chilling Effects of Surveillance and Human Rights: Insights from Qualitative Research in Uganda and Zimbabwe - Oxford Academic, accessed April 6, 2025, https://academic.oup.com/jhrp/article/16/1/397/7234270
99. Criminal Investigations | Clearview AI, accessed April 6, 2025, https://www.clearview.ai/criminal-investigations
100. The impact of digital sources Intel on Missing Persons cases - Negative PID, accessed April 6, 2025, https://negativepid.com/the-impact-of-intelligence-from-digital-sources-on-missing-persons-cases/
101. Report Artificial Intelligence and Law Enforcement: The Federal and State Landscape, accessed April 6, 2025, https://www.ncsl.org/civil-and-criminal-justice/artificial-intelligence-and-law-enforcement-the-federal-and-state-landscape
102. Finding Missing Persons Collaboratively Through AI - SecurityInformed.com, accessed April 6, 2025, https://www.securityinformed.com/insights/finding-missing-persons-collaboratively-ai-co-1593180901-ga.1599557785.html
103. How AI Is Transforming Alzheimer's Clinical Trials: A Breakthrough in Safety Monitoring, accessed April 6, 2025, https://atrinews.usc.edu/how-ai-is-transforming-alzheimers-clinical-trials-a-breakthrough-in-safety-monitoring
104. Artificial intelligence-enabled safety monitoring in Alzheimer's disease clinical trials, accessed April 6, 2025, https://pubmed.ncbi.nlm.nih.gov/39800465/
105. Artificial intelligence-enabled safety monitoring in Alzheimer's disease clinical trials, accessed April 6, 2025, https://www.jpreventionalzheimer.com/download.html?type=pdf&id=1106
106. From Blood Tests to Brain Scans: How AI is Revolutionizing Alzheimer's Research - USC Viterbi | School of Engineering, accessed April 6, 2025, https://viterbischool.usc.edu/news/2024/09/from-blood-tests-to-brain-scans-how-ai-is-revolutionizing-alzheimers-research/
107. Artificial Intelligence and Alzheimer's: How AI Is Revolutionizing Dementia Detection and Treatment - BrightFocus Foundation, accessed April 6, 2025, https://www.brightfocus.org/resource/artificial-intelligence-and-alzheimers-how-ai-is-revolutionizing-dementia-detection-and-treatment/
108. 6 Lifesaving Tracking Devices for Dementia Patients - Our Parents, accessed April 6, 2025, https://www.ourparents.com/products-for-seniors/location-devices-dementia
109. Tracking devices | Alzheimer Society of Canada, accessed April 6, 2025, https://alzheimer.ca/en/help-information/im-caring-person-living-dementia/ensuring-safety-security/tracking-devices
110. Technology for Adults with Dementia - OPICA Adult Day Care, accessed April 6, 2025, https://www.opica.org/technology-for-adults-with-dementia/
111. Location-tracking Technology in Dementia Caregiving - DementiaHub.SG, accessed April 6, 2025, https://www.dementiahub.sg/living-well-with-dementia/location-tracking-technology-in-dementia-caregiving/
112. Technology 101 | Alzheimer's Association, accessed April 6, 2025, https://www.alz.org/help-support/caregiving/safety/technology-101
113. Balancing Ethics and Privacy: Ethical Considerations and Privacy Concerns for AI Video Surveillance in Retail | Pavion, accessed April 6, 2025, https://pavion.com/resource/balancing-ethics-and-privacy-ethical-considerations-and-privacy-concerns-for-ai-video-surveillance-in-retail/
114. AI and Ethics in Surveillance: Balancing Security and Privacy in a Digital World - PhilArchive, accessed April 6, 2025, https://philarchive.org/archive/MOSAAE-2
115. Addressing Ethical and Privacy Issues with Physical Security and AI - ASIS International, accessed April 6, 2025, https://www.asisonline.org/security-management-magazine/monthly-issues/security-technology/archive/2024/april/Addressing-Ethical-and-Privacy-Issues-with-Physical-Security-And-AI/
116. The Ethics of AI in Monitoring and Surveillance - NICE Actimize, accessed April 6, 2025, https://www.niceactimize.com/blog/fmc-the-ethics-of-ai-in-monitoring-and-surveillance/
117. Risk Management Profile for AI and Human Rights - State Department Home, accessed April 6, 2025, https://2021-2025.state.gov/risk-management-profile-for-ai-and-human-rights/
118. 7 actions that enforce responsible AI practices - Huron Consulting, accessed April 6, 2025, https://www.huronconsultinggroup.com/insights/seven-actions-enforce-ai-practices
119. What is AI Governance? - IBM, accessed April 6, 2025, https://www.ibm.com/think/topics/ai-governance
120. Ensuring AI Is Used Responsibly - Homeland Security, accessed April 6, 2025, https://www.dhs.gov/ai/ensuring-ai-is-used-responsibly
121. Advances in AI Increase Risks of Government Social Media Monitoring, accessed April 6, 2025, https://www.brennancenter.org/our-work/analysis-opinion/advances-ai-increase-risks-government-social-media-monitoring
122. Artificial Intelligence and Compliance: Preparing for the Future of AI Governance, Risk, and Compliance | NAVEX, accessed April 6, 2025, https://www.navex.com/en-us/blog/article/artificial-intelligence-and-compliance-preparing-for-the-future-of-ai-governance-risk-and-compliance/
123. Artificial Intelligence in Predictive Policing Issue Brief - NAACP, accessed April 6, 2025, https://naacp.org/resources/artificial-intelligence-predictive-policing-issue-brief
124. Europol Report: Benefits and Challenges of AI for Law Enforcement - eucrim, accessed April 6, 2025, https://eucrim.eu/news/europol-report-benefits-and-challenges-of-ai-for-law-enforcement/
125. Understanding AI Compliance: Challenges and Solutions (2025) - Visier, accessed April 6, 2025, https://www.visier.com/blog/ai-compliance-challenges-and-solutions/
126. Risk and Compliance in the Age of AI: Challenges and Opportunities - Secureframe, accessed April 6, 2025, https://secureframe.com/blog/ai-in-risk-and-compliance
127. The Future of AI in Mentorship - Mentoring Complete, accessed April 6, 2025, https://www.mentoringcomplete.com/the-future-of-ai-in-mentorship/
128. The Predictive Genesis: Encrypted Methodologies of Future Self-Aware Artificial Intelligence, accessed April 6, 2025, https://shopping-feedback.today/futurism/the-predictive-genesis-encrypted-methodologies-of-future-self-aware-artificial-intelligence
129. Industry News 2024 Revolutionizing CRM How AI Enhanced Security is Transforming Customer Data Protection - ISACA, accessed April 6, 2025, https://www.isaca.org/resources/news-and-trends/industry-news/2024/revolutionizing-crm-how-ai-enhanced-security-is-transforming-customer-data-protection
130. How AI Can Transform Integrated Security - Security Industry Association (SIA), accessed April 6, 2025, https://www.securityindustry.org/2024/03/19/how-ai-can-transform-integrated-security/
131. Mentoring in the AI World | Chronus, accessed April 6, 2025, https://chronus.com/blog/mentoring-in-the-ai-world
132. How AI is Transforming Education—Opportunities, Risks, and the Future of Learning, accessed April 6, 2025, https://seniorexecutive.com/ai-in-education-personalized-learning-risks-and-future/
133. Advantages and disadvantages of AI in education | University Canada West (UCW), accessed April 6, 2025, https://www.ucanwest.ca/blog/education-careers-tips/advantages-and-disadvantages-of-ai-in-education
134. Can AI Replace Traditional Teaching? The Pros and Cons of AI in Education, accessed April 6, 2025, https://colorwhistle.com/ai-education-pros-cons/
135. 10 Advantages & Disadvantages of Artificial Intelligence in Education - Digiexam, accessed April 6, 2025, https://www.digiexam.com/blog/advantages-and-disadvantages-of-artificial-intelligence-in-education
136. What are the Benefits and Risks of Artificial Intelligence in Education? - eSchool News, accessed April 6, 2025, https://www.eschoolnews.com/digital-learning/2024/02/05/what-are-the-benefits-and-risks-of-artificial-intelligence-in-education/
137. The Role of AI in Personalized Employee Health Programs: A 2025 Perspective, accessed April 6, 2025, https://capefoxfcg.com/mediacenter/the-role-of-ai-in-personalized-employee-health-programs-a-2025-perspective/
138. Experts Examine Key Questions Around AI and Patient Safety, accessed April 6, 2025, https://www.ihi.org/insights/experts-examine-key-questions-around-ai-and-patient-safety
139. Defining the Role of AI in Safety - ASSP, accessed April 6, 2025, https://www.assp.org/news-and-articles/defining-the-role-of-ai-in-safety
140. Revolutionizing Behavioral Health Through Technology and AI: The Promise of Personalized Care, accessed April 6, 2025, https://behavioralhealthnews.org/revolutionizing-behavioral-health-through-technology-and-ai-the-promise-of-personalized-care/