If your AI decides to go bad?
https://flore.unifi.it/handle/2158/1348176
Artificial Intelligence, Criminal Liability for
The most recent advancements in artificial intelligence (AI) have resulted in the creation of systems that may function in an unforeseen, autonomous, and unsupervised manner. Machine learning techniques enable algorithms to draw lessons from their past actions and teach themselves new behavioral patterns. This might trigger algorithmic wrongdoing without any human involvement.
When you interact with my AI without even knowing it…
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4693396
Wearable AI, Bystander Notice, and the Question of Privacy Frictions
With the rapid advancement of Artificial Intelligence (AI) technology and the widespread availability of Large Language Models (LLMs), wearable AI devices and design for new hardware have surged like never before. While wearable AI was traditionally marketed for health and fitness purposes, many of the emerging products are multifunctional. These features can jeopardize the privacy of bystanders in addition to the consumers. Product designers are thus facing a dilemma: ensuring third party privacy or guaranteeing convenience and a user-friendly design. This essay argues for mandating “privacy frictions” to function as both bystander notice and consent for wearable AI devices with audiovisual features. Privacy frictions are tangible measures that can put the reasonable bystander on notice. While this human-centered privacy design may impact the users’ experience, it ensures a future where privacy continues to be relevant and valued.
Perspective.
https://library.oapen.org/handle/20.500.12657/86900
Multidisciplinary Perspectives on Artificial Intelligence and the Law
This open access book presents an interdisciplinary, multi-authored, edited collection of chapters on Artificial Intelligence (‘AI’) and the Law. 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. As the debate over AI is far from over, the need for rigorous analysis has never been greater. This book thus brings together contributors from different fields and backgrounds to explore how the law might provide answers to some of the most pressing questions raised by AI. An outcome of the Católica Research Centre for the Future of Law and its interdisciplinary working group on Law and Artificial Intelligence, it includes contributions by leading scholars in the fields of technology, ethics and the law.
Can you draw a definitive conclusion in an evolving field?
Ethical Considerations in AI and Machine Learning
This research paper delves into the intricate ethical considerations permeating the dynamic landscape of Artificial Intelligence (AI) and Machine Learning (ML). As these technologies have woven themselves into the fabric of society, their ethical implications have become increasingly pronounced. The paper offers a comprehensive exploration of the critical ethical dimensions inherent to AI and ML, including fairness, transparency, accountability, and data privacy. It delves into the multifaceted challenges that arise, such as algorithmic bias, job displacement, and autonomous decision-making, and examines emerging technologies and regulatory frameworks designed to address these concerns. By scrutinizing AI ethics within the context of specific domains like healthcare and education and anticipating future trends and challenges, this paper underscores the ongoing imperative of ethical considerations in the ever-evolving landscape of AI and ML. It calls upon researchers, policymakers, and industry leaders to embrace interdisciplinary collaboration and adhere to the principles of transparency and accountability, in order to steer the trajectory of AI and ML towards ethical, responsible, and beneficial outcomes.
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