Reading Material

General

• The Economist. (2024, July 16). A short history of AI.
  Source Article: [link] | File Upload: [link]

• Bender, E. M., Gebru, T., McMillan-Major, A., and Shmitchell, S. (2021). “On the dangers of stochastic parrots: Can language models be too big?” Proceedings of the ACM Conference on Fairness, Accountability, and Transparency (FAccT).
  Source Article: [link] | File Upload: [link]

Part I: Responsiblity & AI

• Murrell, A. (2023). The Age of Average. Source Article: [link]

• Chiang, T. (2023). ChatGPT Is a Blurry JPEG of the Web. The New Yorker.
  Source Article: [link] | File Upload: [link]

Part II: Mechanics of AI

• LeCun, Y., Bengio, Y., & Hinton, G. (2015). Deep Learning. Nature, 521, 436–444.
  Source Article: [link] | File Upload: [link].

Articles will be released progressively throughout the lecture series…

Part III: Datasets & Risks of AI

Please view your reading material here.

Datasets of AI:

• Kaplan, J., McCandlish, S., Henighan, T., Brown, T. B., Chess, B., Child, R., Gray, S., Radford, A., Wu, J., & Amodei, D. (2020). Scaling Laws for Neural Language Models (arXiv:2001.08361). arXiv. https://doi.org/10.48550/arXiv.2001.08361

• Shumailov, I., Shumaylov, Z., Zhao, Y., Papernot, N., Anderson, R., & Gal, Y. (2024). AI models collapse when trained on recursively generated data. Nature, 631(8022), 755–759. https://doi.org/10.1038/s41586-024-07566-y

Risks of AI:

• Kosmyna, N., Hauptmann, E., Yuan, Y. T., Situ, J., Liao, X.-H., Beresnitzky, A. V., Braunstein, I., & Maes, P. (2025). Your Brain on ChatGPT: Accumulation of Cognitive Debt when Using an AI Assistant for Essay Writing Task (arXiv:2506.08872). arXiv. https://doi.org/10.48550/arXiv.2506.08872