AI amusements: the tragic tale of Tay the chatbot

By Ernest Davis. 2016

23 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Natural Language Processing, Safety, Robustness & Interpretability

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Jason Aaron Edward Weston
2. Kurt Shuster
3. Eric Michael Smith
4. Y-Lan Boureau
5. Arthur Szlam
6. Jing Xu
7. Emily Dinan
8. Stephen Roller

In Natural Language Processing

1. Jason Aaron Edward Weston
2. Kurt Shuster
3. Y-Lan Boureau
4. Eric Michael Smith
5. Arthur Szlam
6. Jing Xu
7. Emily Dinan
8. Da Ju

In Safety, Robustness & Interpretability

1. Eric Michael Smith
2. Kurt Shuster
3. Y-Lan Boureau
4. Jing Xu
5. Melanie Kambadur
6. Jason Aaron Edward Weston
7. Da Ju
8. Kushal Arora

Citations in the corpus

• BlenderBot 3: a deployed conversational agent that continually learns to responsibly engage (2022, background): “The challenge, however, is that organic users may not be invested enough to want to provide adequate feedback, and some may be adversarial (Park et al., 2021) as in the case of Microsoft’s Tay (Davis, 2016).”
• Offline Reinforcement Learning from Human Feedback in Real-World Sequence-to-Sequence Tasks (2020, methodology): “(2)The chatbot Tay might be one of the most illustrative examples for what can go wrong (Davis, 2016).”