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Source: https://www.europarl.europa.eu/RegData/etudes/STUD/2020/641530/EPRS_STU(2020)641530_EN.pdf)
Excerpts from an EPRS study on the impact of the General Data Protection Regulation (GDPR) on artificial intelligence offers a comprehensive analysis of the intersection between AI and data protection.
It explores how AI's rapid development and data hunger necessitate the application of GDPR principles, such as purpose limitation, data minimization, and transparency.
The study examines the challenges and opportunities presented by AI's use of personal data, particularly in areas like profiling and automated decision-making, while also discussing the rights of data subjects and the need for a robust normative framework to mitigate risks like discrimination and surveillance.
Ultimately, it emphasizes the importance of balancing AI's benefits with ethical and legal safeguards to ensure a human-centered approach.
By Benjamin Alloul 🗪 🅽🅾🆃🅴🅱🅾🅾🅺🅻🅼Source: https://www.europarl.europa.eu/RegData/etudes/STUD/2020/641530/EPRS_STU(2020)641530_EN.pdf)
Excerpts from an EPRS study on the impact of the General Data Protection Regulation (GDPR) on artificial intelligence offers a comprehensive analysis of the intersection between AI and data protection.
It explores how AI's rapid development and data hunger necessitate the application of GDPR principles, such as purpose limitation, data minimization, and transparency.
The study examines the challenges and opportunities presented by AI's use of personal data, particularly in areas like profiling and automated decision-making, while also discussing the rights of data subjects and the need for a robust normative framework to mitigate risks like discrimination and surveillance.
Ultimately, it emphasizes the importance of balancing AI's benefits with ethical and legal safeguards to ensure a human-centered approach.