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Artificial Intelligence Governance and Ethics: Global Perspectives
Angela Daly, Thilo Hagendorff, Li Hui, Monique Mann, Vidushi Marda, Ben Wagner, Wei Wang, Saskia Witteborn
June 28, 2019
Social Science Research Network
80 citations
5 influential
Key Takeaways
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AI ethics is a global priority across diverse regions: The paper documents that Australia, China, Europe, India, and the US are all actively developing ethics and governance initiatives for AI, indicating that responsible AI implementation is recognized as important across different political systems, economic models, and cultural contexts.
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High-risk sectors demand urgent attention: The research identifies military, medicine, and criminal justice as particularly concerning fields where problematic AI implementations could cause significant harm, suggesting these domains require prioritized oversight and ethical safeguards before widespread deployment.
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Multiple stakeholders are stepping up governance efforts: Various actors from different countries and sectors are issuing AI ethics guidelines and governance frameworks, indicating that responsibility for AI safety is being distributed across governments, industries, and international bodies rather than left to any single entity.
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Current AI implementations are already raising ethical concerns: The paper notes "disquiet over problematic and dangerous implementations of AI," suggesting that ethical issues aren't merely theoretical future risks but are already emerging in real-world applications that warrant immediate attention.
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The gap between rapid AI adoption and ethical frameworks is widening: As AI becomes increasingly embedded in daily life and economic systems, the paper implies that the pace of AI deployment may be outpacing the development of adequate ethical standards and governance structures to manage its risks responsibly.