Suchergebnisse

Chapter 1: Diversity in National Law -- Chapter 2: Legislative Reform in EC Law -- Chapter 3: The ECHR Perspective -- Chapter 4: The ECHR in Community Law -- Chapter 5: Community Law Principles of Discrimination 1 -- Chapter 6: A Non-discriminatory Obstacle? -- Chapter 7: Justifications for Married Partners Only Immigration Policies -- Chapter 8: Conclusions

"Cold Rivals brings together a distinguished group of scholars from the United States and China to examine the new era of strategic competition in US-China relations. The two countries are now competitors locked in a long-term rivalry, but how volatile the rivalry will become is still to be determined. The book explores not only the historical roots and contemporary foreign policy aspects of this era, but the volume also looks at the economic, military, and technological arenas of US-China strategic competition. In doing so, this volume highlights important differences in US and Chinese perspectives. A final section of the volume explores future scenarios for the relationship from different perspectives but with all of them coming to the sobering conclusion about a future marked by expanding differences, growing tensions, economic disengagement, and pressures for a global competition. This policy-relevant book provides a comprehensive overview of US-China strategic competition and reinvigorates thinking about how to avoid reaching a crisis point"--

With the recent wave of progress in artificial intelligence (AI) has come a growing awareness of the large-scale impacts of AI systems, and recognition that existing regulations and norms in industry and academia are insufficient to ensure responsible AI development. In order for AI developers to earn trust from system users, customers, civil society, governments, and other stakeholders that they are building AI responsibly, they will need to make verifiable claims to which they can be held accountable. Those outside of a given organization also need effective means of scrutinizing such claims. This report suggests various steps that different stakeholders can take to improve the verifiability of claims made about AI systems and their associated development processes, with a focus on providing evidence about the safety, security, fairness, and privacy protection of AI systems. We analyze ten mechanisms for this purpose--spanning institutions, software, and hardware--and make recommendations aimed at implementing, exploring, or improving those mechanisms.