AI and Data Science Master the art of data science. Join now
Machine learning models are increasingly being used to inform high-stakes decisions. In this session, we will explore what it means to build a trustworthy AI system.
Focus Areas:
What trust means in the AI space and why it is important
Trustworthy AI, Responsible AI, Sustainable AI - what do they all mean?
Basis of building trustworthy AI systems
Understanding the pillars of trustworthy AI and how they add value
Socio-technological challenges
Tools in the space of trustworthy AI
Overview of different regulations, what is out there, why trust is important to comply with regulations
Presenter: Saishruthi Swaminathan
Saishruthi Swaminathan is an advocate for Trustworthy AI and a Data Scientist. She has a Master's in Electrical Engineering specializing in Data Science and a Bachelor's degree in Electronics and Instrumentation Engineering.
Her passion is to dive deep into the ocean of data, extract insights, and use AI for social good. She has spoken at over 70 events worldwide over the past three years. In 2021, the Women in AI (WAIE) team recognized her as one of the 100 brilliant women in AI Ethics 2022. She is on a mission to spread the knowledge and experience she acquired in her learning process.You might also want to check out the other events hosted through this Meetup Group at: https://www.meetup.com/technical-group-hosted-by-ibm/.