• Erika Agostinelli

"I don't trust AI": the role of Explainability in Responsible AI

On the 31st March 2021, I had the pleasure to present a Tech Talk at the Women in Data Science 2021 Bristol Event. The recording of the session is available on Crowdcast (click below), and I have shared my slide deck on SlideShare.




Agenda:

- Yamini Rao - Developer advocate | IBM: Introduction 0:00 min

- Kyra Wulffert - Data Scientist | Virgin Media: “Machine Learning for Continuous Integration” 5:50 min

- Dr Zahraa Abdallah - Lecturer in Data Science | University of Bristol: “Time series classification and Representation learning” 31:18min

- Erika Agostinelli - Data Scientist | IBM : "I don't trust AI": the role of explainability in Responsible AI 1h min13:18

- Dr. Laura Sobola - Senior Consultant & Data Scientist | Unai: “Data and ethics in health” 1h 44:00min

- ALL Panel Discussion: 2h 20:00min



"I don't trust AI": the role of Explainability in Responsible AI


My talk was around Explainable AI: what to consider when developing an explainable strategy, what are the state of the art techniques and open-source tools used in the field, with concrete examples.




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