Part 12/14:
Biases in training data can lead to unfair or discriminatory outcomes.
Explainability remains a challenge, especially when AI assists in critical decision-making impacting lives (e.g., healthcare, finance).
Managing transparency and accountability will be essential as these models become embedded in more domains.
The speaker emphasizes that these issues extend beyond technology—they are societal challenges requiring collaboration among technologists, policymakers, and the public.