The European Commitment to Human-Centered Technology: The Integral Role of HCI in the EU AI Act's Success

• URL: http://arxiv.org/abs/2402.14728v2
• Date: Thu, 13 Jun 2024 14:30:26 GMT
• Title: The European Commitment to Human-Centered Technology: The Integral Role of HCI in the EU AI Act's Success
• Authors: André Calero Valdez, Moreen Heine, Thomas Franke, Nicole Jochems, Hans-Christian Jetter, Tim Schrills,
• Abstract summary: The EU has enacted the AI Act, regulating market access for AI-based systems. The Act focuses regulation on transparency, explainability, and the human ability to understand and control AI systems. The EU issues a democratic call for human-centered AI systems and, in turn, an interdisciplinary research agenda for human-centered innovation in AI development.
• Score: 4.202570851109354
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: The evolution of AI is set to profoundly reshape the future. The European Union, recognizing this impending prominence, has enacted the AI Act, regulating market access for AI-based systems. A salient feature of the Act is to guard democratic and humanistic values by focusing regulation on transparency, explainability, and the human ability to understand and control AI systems. Hereby, the EU AI Act does not merely specify technological requirements for AI systems. The EU issues a democratic call for human-centered AI systems and, in turn, an interdisciplinary research agenda for human-centered innovation in AI development. Without robust methods to assess AI systems and their effect on individuals and society, the EU AI Act may lead to repeating the mistakes of the General Data Protection Regulation of the EU and to rushed, chaotic, ad-hoc, and ambiguous implementation, causing more confusion than lending guidance. Moreover, determined research activities in Human-AI interaction will be pivotal for both regulatory compliance and the advancement of AI in a manner that is both ethical and effective. Such an approach will ensure that AI development aligns with human values and needs, fostering a technology landscape that is innovative, responsible, and an integral part of our society.

Related papers

• Towards a Privacy and Security-Aware Framework for Ethical AI: Guiding the Development and Assessment of AI Systems [0.0]
  This study conducts a systematic literature review spanning the years 2020 to 2023. Through the synthesis of knowledge extracted from the SLR, this study presents a conceptual framework tailored for privacy- and security-aware AI systems.
  arXiv  Detail & Related papers  (2024-03-13T15:39:57Z)
• Ten Hard Problems in Artificial Intelligence We Must Get Right [72.99597122935903]
  We explore the AI2050 "hard problems" that block the promise of AI and cause AI risks. For each problem, we outline the area, identify significant recent work, and suggest ways forward.
  arXiv  Detail & Related papers  (2024-02-06T23:16:41Z)
• Managing extreme AI risks amid rapid progress [171.05448842016125]
  We describe risks that include large-scale social harms, malicious uses, and irreversible loss of human control over autonomous AI systems. There is a lack of consensus about how exactly such risks arise, and how to manage them. Present governance initiatives lack the mechanisms and institutions to prevent misuse and recklessness, and barely address autonomous systems.
  arXiv  Detail & Related papers  (2023-10-26T17:59:06Z)
• AI Regulation in Europe: From the AI Act to Future Regulatory Challenges [3.0821115746307663]
  It argues for a hybrid regulatory strategy that combines elements from both philosophies. The paper examines the AI Act as a pioneering legislative effort to address the multifaceted challenges posed by AI. It advocates for immediate action to create protocols for regulated access to high-performance, potentially open-source AI systems.
  arXiv  Detail & Related papers  (2023-10-06T07:52:56Z)
• The European AI Liability Directives -- Critique of a Half-Hearted Approach and Lessons for the Future [0.0]
  The European Commission advanced two proposals outlining the European approach to AI liability in September 2022. The latter does not contain any individual rights of affected persons, and the former lack specific, substantive rules on AI development and deployment. Taken together, these acts may well trigger a Brussels Effect in AI regulation, with significant consequences for the US and beyond. I propose to jump-start sustainable AI regulation via sustainability impact assessments in the AI Act and sustainable design defects in the liability regime.
  arXiv  Detail & Related papers  (2022-11-25T09:08:11Z)
• Aligning Artificial Intelligence with Humans through Public Policy [0.0]
  This essay outlines research on AI that learn structures in policy data that can be leveraged for downstream tasks. We believe this represents the "comprehension" phase of AI and policy, but leveraging policy as a key source of human values to align AI requires "understanding" policy.
  arXiv  Detail & Related papers  (2022-06-25T21:31:14Z)
• Fairness in Agreement With European Values: An Interdisciplinary Perspective on AI Regulation [61.77881142275982]
  This interdisciplinary position paper considers various concerns surrounding fairness and discrimination in AI, and discusses how AI regulations address them. We first look at AI and fairness through the lenses of law, (AI) industry, sociotechnology, and (moral) philosophy, and present various perspectives. We identify and propose the roles AI Regulation should take to make the endeavor of the AI Act a success in terms of AI fairness concerns.
  arXiv  Detail & Related papers  (2022-06-08T12:32:08Z)
• Putting AI Ethics into Practice: The Hourglass Model of Organizational AI Governance [0.0]
  We present an AI governance framework, which targets organizations that develop and use AI systems. The framework is designed to help organizations deploying AI systems translate ethical AI principles into practice.
  arXiv  Detail & Related papers  (2022-06-01T08:55:27Z)
• Cybertrust: From Explainable to Actionable and Interpretable AI (AI2) [58.981120701284816]
  Actionable and Interpretable AI (AI2) will incorporate explicit quantifications and visualizations of user confidence in AI recommendations. It will allow examining and testing of AI system predictions to establish a basis for trust in the systems' decision making.
  arXiv  Detail & Related papers  (2022-01-26T18:53:09Z)
• Trustworthy AI: A Computational Perspective [54.80482955088197]
  We focus on six of the most crucial dimensions in achieving trustworthy AI: (i) Safety & Robustness, (ii) Non-discrimination & Fairness, (iii) Explainability, (iv) Privacy, (v) Accountability & Auditability, and (vi) Environmental Well-Being. For each dimension, we review the recent related technologies according to a taxonomy and summarize their applications in real-world systems.
  arXiv  Detail & Related papers  (2021-07-12T14:21:46Z)
• Building Bridges: Generative Artworks to Explore AI Ethics [56.058588908294446]
  In recent years, there has been an increased emphasis on understanding and mitigating adverse impacts of artificial intelligence (AI) technologies on society. A significant challenge in the design of ethical AI systems is that there are multiple stakeholders in the AI pipeline, each with their own set of constraints and interests. This position paper outlines some potential ways in which generative artworks can play this role by serving as accessible and powerful educational tools.
  arXiv  Detail & Related papers  (2021-06-25T22:31:55Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.