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The Issue of Artificial Intelligence and Intrusion of Privacy

Table of contents, the rapid advancement of ai, the balance between convenience and privacy, the ethical implications, the right to privacy, the importance of regulation, the future of ai and privacy, the conclusion.

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AI, data governance and privacy

  • Artificial Intelligence
  • Privacy and data protection
  • AI principles
  • AI risks and incidents
  • Privacy principles
  • Data governance

artificial intelligence and intrusion of privacy essay

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Recent AI technological advances, particularly the rise of generative AI, have raised many data governance and privacy questions. However, AI and privacy policy communities often address these issues independently, with approaches that vary between jurisdictions and legal systems. These silos can generate misunderstandings, add complexities in regulatory compliance and enforcement, and prevent capitalising on commonalities between national frameworks. This report focuses on the privacy risks and opportunities stemming from recent AI developments. It maps the principles set in the OECD Privacy Guidelines to the OECD AI Principles, takes stock of national and regional initiatives, and suggests potential areas for collaboration. The report supports the implementation of the OECD Privacy Guidelines alongside the OECD AI Principles. By advocating for international co-operation, the report aims to guide the development of AI systems that respect and support privacy.

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artificial intelligence and intrusion of privacy essay

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Privacy and Artificial Intelligence

Impact statement —While an appreciation of the privacy risks associated with artificial intelligence is important, a thorough understanding of the assortment of different technologies that comprise artificial intelligence better prepares those implementing such systems in assessing privacy impacts. This can be achieved through the independent consideration of each constituent of an artificially intelligent system and its interactions. Under individual consideration, privacy-enhancing tools can be applied in a targeted manner to reduce the risk associated with specific components of an artificially intelligent system. A generalized North American approach to assess privacy risks in such systems is proposed that will retain applicability as the field of research evolves and can be adapted to account for various sociopolitical influences. With such an approach, privacy risks in artificial intelligent systems can be well understood, measured, and reduced.

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COMMENTS

  1. Artificial Intelligence: A Threat to Privacy? - SSRN

    In this background, the paper tries to analyze the invasion of privacy by Artificial Intelligence and the ill-effects of the same. In the guise of public good even the government has adopted AI mechanisms which lead to questioning the governmental action. Likewise, there is hardly any legislation that regulates these aspects either on the ...

  2. The Issue of Artificial Intelligence and Intrusion of Privacy

    In an era driven by technological advancements, artificial intelligence (AI) has emerged as a powerful tool with far-reaching implications. While AI offers numerous benefits, including improved efficiency and enhanced decision-making, it also raises concerns about the intrusion of privacy.

  3. Artificial Intelligence and Privacy by Daniel J. Solove - SSRN

    Some commentators question whether privacy law is appropriate for addressing AI. In this Article, I contend that although existing privacy law falls far short of addressing the privacy problems with AI, privacy law properly conceptualized and constituted would go a long way toward addressing them.

  4. Artificial intelligence and its implications for data privacy

    Artificial intelligence and its implications for data privacy. Contemporary, multidisciplinary research sheds light on data privacy implications of artificial intelligence (AI). This review adopts an AI ecosystem perspective and proposes a process-outcome continuum to classify AI technologies; this perspective helps to understand the nuances of ...

  5. Privacy in an AI Era: How Do We Protect Our Personal Information?

    Second, there's the risk of others using our data and AI tools for anti-social purposes. For example, generative AI tools trained with data scraped from the internet may memorize personal information about people, as well as relational data about their family and friends. This data helps enable spear-phishing—the deliberate targeting of ...

  6. ARTIFICIAL INTELLIGENCE: A THREAT TO PRIVACY? - SSRN

    collected, stored, processed, profiled with the help of Artificial Intelligence. This invades a person’s privacy. In this background, the paper tries to analyze the invasion of privacy by Artificial Intelligence and the ill-effects of the same. In the guise of public good even the government has adopted AI mechanisms which lead to

  7. ARTIFICIAL INTELLIGENCE AND PRIVACY - AITimes.Org

    intersection between artificial intelligence (AI) and privacy, outlining the current problems AI poses to privacy and suggesting potential directions for the law’s evolution in this area.

  8. Rethinking Privacy - Stanford Institute for Human-Centered ...

    understanding and expectations of online privacy as well as the policy implications of emerging technologies, including artificial intelligence. Her recent research explores alternatives to notice and consent (with the World Economic Forum), the impact of California’s new privacy laws, and manipulative design (dark patterns).

  9. AI, data governance and privacy - OECD

    Recent AI technological advances, particularly the rise of generative AI, have raised many data governance and privacy questions. However, AI and privacy policy communities often address these issues independently, with approaches that vary between jurisdictions and legal systems. These silos can generate misunderstandings, add complexities in regulatory compliance and enforcement, and prevent ...

  10. Privacy and Artificial Intelligence | IEEE Journals ...

    Artificial intelligence is a rapidly developing field of research with many practical applications. Congruent to advances in technologies that enable big data, deep learning, and neural networks to train, learn, and predict, artificial intelligence creates new risks that are difficult to predict and manage. Such risks include economic turmoil, existential crises, and the dissolution of ...