Time: 14:00 - 15:00
Organized by NORA.
We have seen that there are pitfalls: there are many examples of AI being easily fooled, or making unexpected mistakes, or producing biased or discriminatory results. In this webinar Jill Walker Rettberg will show us examples of these failures of AI and machine learning. She will present different levels at which machine learning can fail, looking at datasets, proxies, objectives and more.