Webinar: "Responsible AI – State of the Art and Future Directions"

To access this webinar, please register here:
https://aiplus.odsc.com/courses/responsible-ai-state-of-the-art-and-future-direction

Topic: Responsible AI – State of the Art and Future Directions

Speaker: Mehrnoosh Sameki, Senior Technical Program Manager at Microsoft
https://www.linkedin.com/in/mehrnoosh-sameki-a2a02245/

Bio:
Mehrnoosh Sameki is a senior technical program manager at Microsoft, responsible for leading the product efforts on machine learning interpretability and fairness within the Azure Machine Learning platform. She earned her PhD degree in computer science at Boston University. She also serves as an adjunct assistant professor at Boston University, offering courses in AI and responsible ML. Previously, she was a data scientist at Rue Gilt Groupe, incorporating data science and machine learning in the retail space to drive revenue and enhance customers’ personalized shopping experiences.

Abstract:
Responsible AI is an umbrella term for many themes associated with the intersection of ethics and AI.  One reasonable enumeration is Microsoft’s 6 Principles for AI development:  Four core principles of fairness, reliability/safety, privacy/security, and inclusiveness, underpinned by two foundational principles of transparency and accountability. For this presentation, we focus on Transparency (Interpretability), Fairness and Inclusiveness, and Privacy as major principles of responsible AI and cover best practices and state-of-the-art open-source toolkits and offerings that target researchers, data scientists, machine learning developers, and business stakeholders to be able to build trustable, more transparent AI systems.

Attendees will leave the session with the basic understanding of responsible AI principles, best practices and open-source tools around responsible development and deployment of AI systems. They will be able to incorporate the introduced tools and products in their machine learning life cycle, running them on their previously-trained models to understand the factors that went into their model predictions, and verify their model fairness across protected attributes and mitigate the existing bias.

Use discount code - Meetup2020 - to get an extra 10% off on your pass for Virtual Conference West. Extra discount applied over website prices - https://bit.ly/2AjFgQa

ODSC Links:
• Get free access to more talks/trainings like this at AI+ Training platform:
https://aiplus.odsc.com/
• Facebook: https://www.facebook.com/OPENDATASCI
• Twitter: https://twitter.com/odsc & @odsc
• LinkedIn: https://www.linkedin.com/company/open-data-science
• Slack Channel: http://bit.ly/2RkOf9l
• West Conference Oct 27th – 30th, 2020: https://odsc.com/california/
• APAC Conference 8th–9th December 2020: https://odsc.com/apac/
• Code of conduct: https://odsc.com/code-of-conduct/