Data Bias in AI

Emily discusses the troubling implications of biased data in AI, highlighting instances where search algorithms perpetuate harmful stereotypes. She emphasizes the importance of understanding data collection methods and the optimization metrics that shape these models. Additionally, she explores sentiment analysis through the lens of Yelp reviews, illustrating how biases can skew perceptions and outcomes in real-world scenarios.

In this clip
From this podcast
Gradient Dissent - A Machine Learning Podcast
Emily M. Bender — Language Models and Linguistics
Related Questions
- How does artificial intelligence influence social media within a social context as discussed in the episode 106 - Ethical Considerations In NLP Research, with Emily Bender and the clip Ethical NLP Dilemmas?
- What's your opinion on using large language models (LLMs) for scientific research, especially for generating new ideas for hypotheses as discussed in the episode AI For Good - Detecting Harmful Content at Scale // Matar Haller // #245 and the clip Model Bias Mitigation?

Data Bias in AI

In this clip

From this podcast

Gradient Dissent - A Machine Learning Podcast

Emily M. Bender — Language Models and Linguistics

Related Questions

How does artificial intelligence influence social media within a social context as discussed in the episode 106 - Ethical Considerations In NLP Research, with Emily Bender and the clip Ethical NLP Dilemmas?

What's your opinion on using large language models (LLMs) for scientific research, especially for generating new ideas for hypotheses as discussed in the episode AI For Good - Detecting Harmful Content at Scale // Matar Haller // #245 and the clip Model Bias Mitigation?