Igor discusses the importance of addressing short-term AI risks to mitigate long-term consequences. He emphasizes the need for a more empirical approach to measuring trustworthiness in algorithmic applications, focusing on specific contexts rather than broad categories of AI. Igor also highlights the impact of untrustworthy algorithmic applications and the significance of understanding the risks associated with the actual setting in which they are produced.
