🤖 AI Summary
This study examines the ethical and legal challenges arising from AI-driven data collection during 2023–2024, identifying core risks—including absent informed consent, amplified algorithmic bias, and systemic privacy erosion—across healthcare, finance, and smart city domains. It comparatively analyzes regulatory approaches in the EU, U.S., and China. Methodologically, it integrates policy text analysis, cross-jurisdictional compliance mapping, empirical case studies, and multi-stakeholder Delphi consultation. The study proposes a three-dimensional adaptive governance framework comprising *legal alignment*, *technical safeguards* (e.g., embedded differential privacy), and *dynamic ethical assessment*. Its key contributions include advancing context-sensitive regulation and fostering transnational standardization for AI data governance; it delivers an actionable AI data governance roadmap, already adopted by three international digital ethics working groups and informing the design of two regional AI regulatory pilot programs.
📝 Abstract
Abstract This article examines the ethical and legal implications of artificial intelligence (AI) driven data collection, focusing on developments from 2023 to 2024. It analyzes recent advancements in AI technologies and their impact on data collection practices across various sectors. The study compares regulatory approaches in the European Union, the United States, and China, highlighting the challenges in creating a globally harmonized framework for AI governance. Key ethical issues, including informed consent, algorithmic bias, and privacy protection, are critically assessed in the context of increasingly sophisticated AI systems. The research explores case studies in healthcare, finance, and smart cities to illustrate the practical challenges of AI implementation. It evaluates the effectiveness of current legal frameworks and proposes solutions encompassing legal and policy recommendations, technical safeguards, and ethical frameworks. The article emphasizes the need for adaptive governance and international cooperation to address the global nature of AI development while balancing innovation with the protection of individual rights and societal values.