From data colonialism to autonomous weapons, the ethical risks of AI are global. ⚠️ Discover how we can mitigate these risks and ensure a future where AI benefits all of humanity.
References:
- Buolamwini, J., & Gebru, T. (2018). Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification. Proceedings of Machine Learning Research.
- O’Neil, C. (2016). Weapons of Math Destruction. Crown Publishing Group.
- AI Now Institute. (2023). Reports on Algorithmic Accountability and Transparency.
- United Nations. (2022). Discussions on Lethal Autonomous Weapons Systems.
- European Union. (2016). General Data Protection Regulation (GDPR).
Additional Resources:
- The Alan Turing Institute’s Fairness Toolkit.
- Stanford University’s “AI Ethics” online course.
- Partnership on AI: Best Practices for Ethical AI.
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