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The State of AI Ethics Report (Volume 5)
Abhishek Gupta, Connor Wright, Marianna Bergamaschi Ganapini, Masa Sweidan, Renjie Butalid
August 9, 2021
arXiv.org
Key Takeaways
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AI ethics requires global perspectives: The report highlights scholars from Singapore and Mexico shaping policy on responsible technology use, emphasizing that effective AI governance cannot be developed in isolation and benefits from diverse international viewpoints.
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Environmental impact of AI deserves urgent attention: With a special emphasis on "Environment and AI," the report signals that the carbon footprint and resource consumption of AI systems are critical ethical considerations that the field must address alongside traditional concerns like bias and fairness.
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Implementing AI ethics in organizations faces real-world barriers: The report identifies "organizational challenges to implementing AI ethics in practice," suggesting that even when companies understand ethical principles, translating them into actual business operations remains a significant obstacle.
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AI ethics spans multiple disciplines: By featuring contributions on pedagogy, sociology, and moral philosophy alongside technical topics, the report demonstrates that responsible AI requires insights from humanities and social sciences, not just computer science and engineering.
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Comprehensive ethical frameworks must address interconnected issues: The report covers bias, privacy, transparency, accountability, fairness, interpretability, disinformation, and policymaking together, indicating that these concerns are deeply interconnected and cannot be solved in isolation from one another.