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Human Rights and Artificial Intelligence is a seminal text on the legal ramifications of machine learning. Analysing both the concept of human rights and specific rights in light of new AI technologies, this expansive volume will be useful to academics, professionals, and policymakers navigating this complex and shifting terrain.

ARTIFICIAL INTELLIGENCE (AI) IN FORENSIC SCIENCESFoundational text for teaching and learning within the field of Artificial Intelligence (AI) as it applies to forensic scienceArtificial Intelligence (AI) in Forensic Sciences presents an overview of the state-of-the-art applications of Artificial Intelligence within Forensic Science, covering issues with validation and new crimes that use AI; issues with triage, preselection, identification, argumentation and explain ability; demonstrating uses of AI in forensic science; and providing discussions on bias when using AI.The text discusses the challenges for the legal presentation of AI data and interpretation and offers solutions to this problem while addressing broader practical and emerging issues in a growing area of interest in forensics. It builds on key developing areas of focus in academic and government research, providing an authoritative and well-researched perspective.Compiled by two highly qualified editors with significant experience in the field, and part of the Wiley -- AAFS series 'Forensic Science in Focus', Artificial Intelligence (AI) in Forensic Sciences includes information on:_ Cyber IoT, fundamentals on AI in forensic science, speaker and facial comparison, and deepfake detection_ Digital-based evidence creation, 3D and AI, interoperability of standards, and forensic audio and speech analysis_ Text analysis, video and multimedia analytics, reliability, privacy, network forensics, intelligence operations, argumentation support in court, and case applications_ Identification of genetic markers, current state and federal legislation with regards to AI, and forensics and fingerprint analysisProviding comprehensive coverage of the subject, Artificial Intelligence (AI) in Forensic Sciences is an essential advanced text for final year undergraduates and master's students in forensic science, as well as universities teaching forensics (police, IT security, digital science and engineering), forensic product vendors and governmental and cyber security agencies

This text interrogates the notion and considers the implication that AI functionally could and ethically should be harnessed for 'socially good' purposes. It includes an introduction, as well as research articles followed by commentaries. It appeals to students and researchers working in or interested in philosophy of technology. Previously published in Philosophy & Technology Volume 34, supplement issue 1, November 2021 Chapters Artificial Intelligence for Social Good and Testing the Black Box: Institutional Investors, Risk Disclosure, and Ethical AI are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com

Artificial intelligence is neither a myth nor a threat to man. It relates to a serious attempt to develop machine methods for dealing with some of the perplexing problems that should, in all justice, be delegated to machines but which now seem to require the exercise of human intelligence. 2 fundamentally diff approaches to the problem are being explored, one aimed at a complete understanding of the intellectual process involved & the other aimed at duplicating the assumed specific behavior of the brain. The first approach concerns itself with such matters as search, pattern recognition, learning, planning & induction; the second involves a study of the behavior of random nets. It is fair to conclude that artificial intelligence promises to reduce rather than to augment technological unemployment. AA.

This timely book investigates emerging efforts to govern artificial intelligence (AI) at an international level. It aptly emphasizes the complex interactions involved when creating international laws, exploring potential and current developments in AI regulation