Devdiscourse8 天
Why explainability matters: XAI as the key to building trustworthy AI systems
The study reveals that XAI methodologies are essential for making black-box AI models more transparent. Traditional ML models ...
Devdiscourse8 天
Relying on AI Without Understanding It: The Inevitable Tradeoff
The prevailing belief in AI research is that better explanations lead to greater trust. AI developers have invested heavily ...
Harvard Business School1 年
Quantifying Uncertainty in Natural Language Explanations of Large Language Models
Lakkaraju, Himabindu, Sree Harsha Tanneru, and Chirag Agarwal. "Quantifying Uncertainty in Natural Language Explanations of Large Language Models." Paper presented at the Society for Artificial ...