Responsibility in AI
Rumman discusses the inherent responsibilities that come with creating technology, emphasizing the importance of fostering a culture of accountability. Through thought-provoking examples, such as surge pricing during emergencies and biased search engine results, he challenges listeners to consider the ethical implications of their decisions in AI development. The conversation highlights the complexity of values-driven choices in technology and the need for deeper interrogation of these issues.In this clip
From this podcast
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
2020: A Critical Inflection Point for Responsible AI with Rumman Chowdhury
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