Prakhar Ganesh discusses his PhD research on responsible AI, focusing on multiplicity—multiple valid interpretations of data that can lead to different model outcomes. His work explores how developer decisions shape these interpretations and aims to bridge theoretical understanding with real-world applications, emphasizing the importance of interdisciplinary collaboration for practical impact in AI deployment.
Read the full article at +?+?hub
Want to create content about this topic? Use Nemati AI tools to generate articles, social posts, and more.
39
Ali NematiWritten by Ali
