Law Center - Paralegal Studies - Library Resources: Artificial Intelligence Resources

AI technology has come to play a central role in the modern data economy. Through a combination of increased computing power, the growing availability of data and the advancement of algorithms, AI has now become an umbrella term for some of the most transformational technological breakthroughs of this age. The importance of AI stems from both the opportunities that it offers and the challenges that it entails. While AI applications hold the promise of economic growth and efficiency gains, they also create significant risks and uncertainty. The potential and perils of AI have thus come to dominate modern discussions of technology and ethics – and although AI was initially allowed to largely develop without guidelines or rules, few would deny that the law is set to play a fundamental role in shaping the future of AI.

Political systems across much of the West are now subject to populist disruption, which often takes an anti-Constitutional form. This interdisciplinary book argues that the current analysis of anti-Constitutional populism, while often astute, is focused far too narrowly. It is held here that due to an obscured complex of dynamics that has shaped the history of the West since its inception and which remains active today, we do not understand the present. This complex not only explains the current disruptions across the fields of contemporary religion, politics, economics and emerging artificial intelligence but also how these disruptions derive each from originary sources. This work thereby explains not only the manner in which this complex has functioned across historical time but also why it is that its inherent, unresolvable flaws have triggered the shifts between these key fields as well as the intractability of these present disruptions.

This open access book focuses on the impact of Artificial Intelligence (AI) on individuals and society from a legal perspective, providing a comprehensive risk-based methodological framework to address it. Building on the limitations of data protection in dealing with the challenges of AI, the author proposes an integrated approach to risk assessment that focuses on human rights and encompasses contextual social and ethical values. The core of the analysis concerns the assessment methodology and the role of experts in steering the design of AI products and services by business and public bodies in the direction of human rights and societal values. Taking into account the ongoing debate on AI regulation, the proposed assessment model also bridges the gap between risk-based provisions and their real-world implementation. The central focus of the book on human rights and societal values in AI and the proposed solutions will make it of interest to legal scholars, AI developers and providers, policy makers and regulators.