18/09/2020
Interpret-Text: Building trust and power with explainability
Artificial intelligence (AI) systems have a growing impact on people's lives on an every-day-level, thus it is fundamental to protect, control, and understand the behavior and complexity of different models. Interpretability assists data scientists to explain, debug, and validate their models, thus helping to build trust towards the model.
Interpret-Text, the innovative interpretability technique for Natural Language Processing (NLP) models has been developed by the community and just has been announced at Microsoft Build 2020.
During this session, attendees will get an understanding of how to explain their models and then how to build a visualization dashboard that provides insights into their data, using different state-of-the-art explainers.
About the speaker:
EVE PARDI is a Software Developer and Data Scientist from Laerdal Copenhagen. Apart from this, she also Blogs, Speaks, and Mentors. She was chosen as one of Microsoft's AI Most Valuable Professional for the year 2020. With an aim of making people understand how intelligent applications affect our lives, she wants to teach people how to use and control AI, instead of seeing applications as a threat.
Register now!! : https://forms.office.com/Pages/ResponsePage.aspx?id=oBzDhDusrk6tEVGdgCM-bwqFDbim_2lFpl6URjAHuQ9UQ1JJTUlQU1Q3UkJZVEZXSkoxUDZYSTg3Ry4u
Know More: https://clubs.mitportals.in/clubs/events/73