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:

1. Buolamwini, J., & Gebru, T. (2018). Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification. Proceedings of Machine Learning Research.
2. O’Neil, C. (2016). Weapons of Math Destruction. Crown Publishing Group.
3. AI Now Institute. (2023). Reports on Algorithmic Accountability and Transparency.
4. United Nations. (2022). Discussions on Lethal Autonomous Weapons Systems.
5. European Union. (2016). General Data Protection Regulation (GDPR).

Additional Resources:

1. The Alan Turing Institute’s Fairness Toolkit.
2. Stanford University’s "AI Ethics" online course.
3. Partnership on AI: Best Practices for Ethical AI.