For example, in autonomous driving, we should have liability for accidents and torts, knowing who/what determines responsibility for incidents. In healthcare, for cancer screening, we should have liability for malpractice, collection of data and potential bias in treatment. In finance, we should avoid having unintended bias in credit and lending decisions.
Regulation will likely emerge to address societal concerns and harms brought about by AI. The law has evolved to deal with human mistakes; however, AI is expected to make different types of mistakes. We need to be able to account for the possibilities of both human- and AI-induced error, while promoting the potential benefits of AI.
Join IBM Data Scientists/Machine Learning Engineers Dr. Sepideh Seifzadeh and Annamaria Balazs for a free webinar on building, operationalizing, and monitoring AI workloads with trust and transparency.
You'll have a chance to submit questions during the webinar. You can also share your questions by replying to this post.
Can't attend live? That's okay! The webinar will be recorded and all registrants will be sent a link to the recording!
This webinar took place on 10 July 2019.
About the Speakers
Sepi is a Data Scientist/Machine Learning Engineer on the IBM Data Science Elite (DSE) team, based in San Francisco. After completing her PhD at the Center for Pattern Analysis and Machine Intelligence at University of Waterloo, she started her journey as a Big Data & Analytics consultant. Sepi joined IBM as an open source solution engineer, working for IBM Canada for 2 years where she was honored to be awarded “The Best of IBM” 2018. She really enjoys being on the DSE team and applying AI in real world applications to help customers on their data science journey. She enjoys working with DSE team members who are top talent in the field.
Sepi is a speaker at conferences, meetups and summits, and she is passionate about sharing recent trends in technology with everyone. She mostly uses open source tools in Watson Studio, with her recent passion being around detecting model bias using Watson Open Scale to ensure Machine Learning models provide fair decisions with trust and transparency.
In her free time, Sepi goes hiking, scuba diving, and biking. She has a passion for technology and always tries to keep herself up to date about the recent trends and innovations in the field.
Annamaria is a Data Scientist and AI Evangelist in the IBM Data Science Elite team. She works with clients globally, helping them become successful on their data science journey. She joined IBM over a year ago, and held previous positions as a General Manager and EMEA Regional Manager for large international organizations effectively using data to drive business decisions while managing and growing the business. Being a lifelong learner, her studies are varied and diverse and she holds degrees in Transport Engineering, Psychology and Computer Sciences. In her everyday job, she utilizes her skills in Machine Learning, Python, R, Sparks and Big Data Analytics.