On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?

Bender et al., 2021, On the Dangers of Stochastic Parrots (Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency (FAccT ’21))

Subscriber deck — free during early access

1 cards in “8 Conclusion” · whole deck

8 Conclusion

What “bright line” did Bender et al. draw for ethical AI development?
Work on synthetic human behaviour: applications that aim to believably mimic humans bring risk of extreme harm, so their downstream effects must be understood and modelled, with target tasks grounded in concrete use cases designed with affected communities.
- Bender et al., 2021, On the Dangers of Stochastic Parrots (Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency (FAccT ’21)), §8, p. 619

Source

Emily M. Bender, Timnit Gebru, Angelina McMillan-Major and Shmargaret Shmitchell. 2021. On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?. In Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency (FAccT ’21), pp. 610–623. License: CC BY 4.0. Flashcards adapted from this work. doi:10.1145/3442188.3445922