CEU Electronic Theses and Dissertations, 2020
| Author | Panait, Cezara Alexandra |
|---|---|
| Title | Tackling Biases and Discrimination in the AI Regulatory Framework - A Comparative Analysis of EU and U.S. |
| Summary | One of the main human rights risks posed by Artificial Intelligence (hereinafter: AI) systems is the reinforcement of discrimination and biases on various grounds, including race, sex, gender, sexual orientation, age or poverty. The present research focuses on the main regulatory and ethical initiatives on AI, in a comparative analysis on the perspectives of the European Union (hereinafter: EU) and the United States of America (hereinafter: US). After mapping the discriminatory tendencies, the study presents the different regulatory approaches to AI and non-discrimination. Further, the legally binding framework on non-discrimination and data protection is assessed. The study continued with the analysis of a series of interviews with a whole range of stakeholders in the area of AI policy-making. The research concludes with a set of recommendations for policy-makers and stakeholders working in the AI regulatory environment. Thus, the main proposals of the study are the following: (1) conduct a comprehensive mapping on existing legal frameworks to analyze the feasibility of AI regulations; (2) advance the debate on AI ethics; (3) determine the adequate legal instrument for regulatory intervention, which can include sectorial regulations or adapting non-discrimination and data protection legislation; (4) ensure representative and high-quality datasets and (5) strengthen the cooperation between all stakeholders involved in the AI policy-making process. |
| Supervisor | Sandor, Judit |
| Department | Legal Studies LLM |
| Full text | https://www.etd.ceu.edu/2020/panait_cezara.pdf |
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