This book provides a stinging critique of the regulatory underpinnings of the EU AI Act, delivering a trenchant criticism and asserting that there is no shortage of reasons for enduring skepticism. This book uncovers the multifaceted architecture underlying both the EU AI Act and the General-Purpose AI Code of Practice, revealing its technological, social, philosophical, and legal shortcomings. Chapters focusing on doctrinal, social, technological, philosophical, historical, and economic stances are carefully paired with fruitful discussions about bespoke standards for addressing the ever-evolving issue of algorithmic decision-making, such as enhanced safety, protection of fundamental rights, sustainability of the rule of law, and redress of algorithmic wrongs.
This book provides a stinging critique of the regulatory underpinnings of the EU AI Act, delivering a trenchant criticism and asserting that there is no shortage of reasons for enduring skepticism. This book uncovers the multifaceted architecture underlying both the EU AI Act and the General-Purpose AI Code of Practice, revealing its technological, social, philosophical, and legal shortcomings. Chapters focusing on doctrinal, social, technological, philosophical, historical, and economic stances are carefully paired with fruitful discussions about bespoke standards for addressing the ever-evolving issue of algorithmic decision-making, such as enhanced safety, protection of fundamental rights, sustainability of the rule of law, and redress of algorithmic wrongs.
Hugo Luz dos Santos
Regulatory Compliance EU AI Act General-Purpose AI Code of Practice Algorithmic Stewardship Algorithmic Disgorgement Controllable Artificial Intelligence Large Language Models Thing-Centered Artificial Intelligence Algorithmic Safety Algorithmic Common Good Redress of Algotrithmic Wrongs Correlativity Axiom: Rights Entail Duties Model Providers Model Deployers Interpretable Algorithmic Decision-making