Panel: Tackling Bias in AI
Artificial Intelligence has seen immense advancements in the 21st century, and its impact has been described as “the next electricity”. Yet, even the most superlative AI algorithms are only as good as the underlying training data – and this leads to bias in the algorithmic decisions. In this panel, our experts will discuss how deep and challenging are the actual biases in AI algorithms. Can we trust the algorithms deployed today (in medicine, finance, security, legal, HR) to accurately model and protect the interests of everyone. And if not, what techniques can be used to quantify and then eliminate those biases.
Samir Kumar is managing director at M12 – Microsoft’s Venture Fund, providing technical leadership for the recently announced AI Fund. He will also lead investment activities in other key frontier technology areas such as quantum computing and autonomous vehicles.
Prior to this, he was senior director for business development and product management in Qualcomm’s corporate R&D division. In this role, he led early stage product validation, partnerships, acquisitions and strategy for embedded and on-device deep learning.
Samir started his career at Microsoft and spent several years in Redmond leading product management/product planning efforts for enterprise mobility before heading to Palm, Samsung, and Qualcomm. He holds a bachelor’s of science degree in mechanical engineering from Cornell University.
Michal is one of the chief architects behind CyberSec&AI Connected, which takes place online on ...
Bobby Filar is the Lead Data Scientist at Elastic where he employs machine learning and natural lang...
Lorenzo leads the Systems Security Research Lab where he specializes in the intersection of program ...