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Beyond a Human Rights-Based Approach to AI Governance: Promise, Pitfalls, Plea

Nathalie A. Smuha

Philosophy and Technology 34 (S1):91-104 (2020)

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Big Data in the workplace: Privacy Due Diligence as a human rights-based approach to employee privacy protection.Jeremias Adams-Prassl, Isabelle Wildhaber & Isabel Ebert - 2021 - Big Data and Society 8 (1).details Data-driven technologies have come to pervade almost every aspect of business life, extending to employee monitoring and algorithmic management. How can employee privacy be protected in the age of datafication? This article surveys the potential and shortcomings of a number of legal and technical solutions to show the advantages of human rights-based approaches in addressing corporate responsibility to respect privacy and strengthen human agency. Based on this notion, we develop a process-oriented model of Privacy Due Diligence to complement existing frameworks (...) Download Export citation Bookmark 2 citations
The Missing Ingredient in the Case for Regulating Big Tech.Bartlomiej Chomanski - 2021 - Minds and Machines 31 (2):257-275.details Having been involved in a slew of recent scandals, many of the world’s largest technology companies embarked on devising numerous codes of ethics, intended to promote improved standards in the conduct of their business. These efforts have attracted largely critical interdisciplinary academic attention. The critics have identified the voluntary character of the industry ethics codes as among the main obstacles to their efficacy. This is because individual industry leaders and employees, flawed human beings that they are, cannot be relied on (...) Download Export citation Bookmark 4 citations
AI under great uncertainty: implications and decision strategies for public policy.Maria Nordström - 2022 - AI and Society 37 (4):1703-1714.details Decisions where there is not enough information for a well-informed decision due to unidentified consequences, options, or undetermined demarcation of the decision problem are called decisions under great uncertainty. This paper argues that public policy decisions on _how_ and _if_ to implement decision-making processes based on machine learning and AI for public use are such decisions. Decisions on public policy on AI are uncertain due to three features specific to the current landscape of AI, namely (i) the vagueness of the (...) Download Export citation Bookmark 5 citations
Regulations Matter: Epistemic Monopoly, Domination, Patents, and the Public Interest.Zahra Meghani - 2021 - Philosophy and Technology (tba):1-26.details This paper argues that regulatory agencies have a responsibility to further the public interest when they determine the conditions under which new technological products may be commercialized. As a case study, this paper analyzes the US 9th Circuit Court’s ruling on the efforts of the US Environmental Protection Agency to regulate an herbicide meant for use with seed that are genetically modified to be tolerant of the chemical. Using that case, it is argued that when regulatory agencies evaluate new technological (...) Download Export citation Bookmark 2 citations
Normative Challenges of Risk Regulation of Artificial Intelligence.Carsten Orwat, Jascha Bareis, Anja Folberth, Jutta Jahnel & Christian Wadephul - 2024 - NanoEthics 18 (2):1-29.details Approaches aimed at regulating artificial intelligence (AI) include a particular form of risk regulation, i.e. a risk-based approach. The most prominent example is the European Union’s Artificial Intelligence Act (AI Act). This article addresses the challenges for adequate risk regulation that arise primarily from the specific type of risks involved, i.e. risks to the protection of fundamental rights and fundamental societal values. This is mainly due to the normative ambiguity of such rights and societal values when attempts are made to (...) Download Export citation Bookmark

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