About the issue

AI increasingly permeates every aspect of our society, from the critical, like urban infrastructure, law enforcement, banking, healthcare, and humanitarian aid, to the mundane like dating. AI, including embodied AI in robotics and techniques like machine learning, can improve economic, social welfare, and the exercise of human rights. The various sectors mentioned can benefit enormously from these new technologies. Simultaneously, AI may be misused or behave in unpredicted and potentially harmful ways. Questions on the role of the law, ethics, and technology in governing AI systems are thus more relevant than ever before. AI systems, most of which apply learning techniques from statistics to find patterns in large sets of data and make predictions based on those patterns, are used in a wide variety of applications. Due to the proliferation of AI in high-risk areas, pressure is mounting to design and govern AI to be accountable, fair and transparent. How can this be achieved and through which frameworks? This is one of the central questions addressed in this issue, which presents an in-depth analysis of the ethical, legal-regulatory, and technical challenges posed in developing governance regimes for AI systems.

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