Solon discusses the complex interplay between fairness and model explanations in AI, emphasizing that achieving fairness may sometimes require abandoning the need for explanations in favor of formal guarantees. He highlights the ongoing debate surrounding decision-making fairness and the role of discrimination law, suggesting that both formal approaches and explanations have their place in ensuring just outcomes.
