TY - CHAP
T1 - Data Protection Challenges and Opportunities Due to Emerging AI and ML Technologies
AU - Hewage, Chaminda
AU - Yasakethu, S. L.P.
AU - Jayakody, Dushantha Nalin K. Jayakody
N1 - Publisher Copyright:
© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
PY - 2024/12/24
Y1 - 2024/12/24
N2 - Artificial intelligence (AI) and machine learning (ML) research and innovation have created significant advances in how technology is used in diverse sectors. These technologies can create significant impact outside academia, for example, on our economy, society, and industry landscape. However, most of these AI technologies could be biased or inaccurate if they are not developed and validated well. Irresponsible AI applications can pose significant risks to individuals’ rights. People have started to resist “black box-” type AI models. They want more transparent, equitable, and responsible AI models. To this end, technological paradigm changes are taking place to make emerging AI models more responsible and useful for individuals and the society. To reinforce the technological efforts, policies and regulations are being enacted across the world to regulate “out-of-control” AI and ML applications. This chapter discusses emerging AI and ML applications, data protection challenges, and privacy-preserving AI and ML algorithms.
AB - Artificial intelligence (AI) and machine learning (ML) research and innovation have created significant advances in how technology is used in diverse sectors. These technologies can create significant impact outside academia, for example, on our economy, society, and industry landscape. However, most of these AI technologies could be biased or inaccurate if they are not developed and validated well. Irresponsible AI applications can pose significant risks to individuals’ rights. People have started to resist “black box-” type AI models. They want more transparent, equitable, and responsible AI models. To this end, technological paradigm changes are taking place to make emerging AI models more responsible and useful for individuals and the society. To reinforce the technological efforts, policies and regulations are being enacted across the world to regulate “out-of-control” AI and ML applications. This chapter discusses emerging AI and ML applications, data protection challenges, and privacy-preserving AI and ML algorithms.
KW - AI regulation
KW - Artificial intelligence
KW - Data protection
KW - Machine learning
UR - https://link.springer.com/chapter/10.1007/978-3-031-76473-8_1
U2 - 10.1007/978-3-031-76473-8_1
DO - 10.1007/978-3-031-76473-8_1
M3 - Chapter
AN - SCOPUS:105003075609
SN - 9783031764721
SP - 1
EP - 27
BT - Data Protection Challenges and Opportunities Due to Emerging AI and ML Technologies
PB - Springer Nature
ER -