What's New in AI: A Discussion about Trustworthy AI with Beena Ammanath
Published by O'Reilly Media, Inc.
How to apply AI while navigating risk, compliance, and ethics
Join host George Anadiotis and guest Beena Ammanath, who leads the global Deloitte AI Institute and the Technology Trust Ethics practice at Deloitte, for a discussion about the importance of responsible, ethical, and trustworthy AI. AI systems are built on ever-growing large sets of data and have increasingly complex capabilities, especially those powered by large language models and other generative AI tools. Their potential impact on society is just beginning to unfold. The need to proactively develop trustworthy AI is becoming crucial for AI leaders and practitioners. Although the regulatory framework around AI is a work in progress, the benefits of trustworthy AI for every organization are orthogonal to regulation. This event is for anyone who is interested in learning more about how to develop AI systems that provide services and solve our complex problems in ways that mitigate the potential and unintended harms that could arise.
What’s New in AI gives you a chance to hear from leading minds in the field on topics such as generative AI, large language models, responsible AI, current regulations, and other developments as they appear. Host George Anadiotis, founder of Linked Data Orchestration, and members of O’Reilly’s community of experts help you make sense of the bigger picture in AI and leverage emerging AI technologies to solve your organization’s most challenging problems.
What you’ll learn and how you can apply it
- Learn about current techniques and approaches to doing trustworthy AI
- Understand the risks involved in building increasingly powerful AI systems
- Discover the future of the AI regulatory landscape
This live event is for you because...
- You’re a data scientist, machine learning engineer, machine learning architect, leader, or practitioner who designs, develops, and deploys machine learning systems.
- You want to keep up-to-date on the latest developments and breakthroughs in the field of AI.
Prerequisites
- Come with your questions for Beena Ammanath
- Have a pen and paper handy to capture notes, insights, and inspiration
Recommended follow-up:
- Read Trustworthy AI (book)
- Read Machine Learning for High-Risk Applications (book)
- Read Explainable AI for Practitioners (book)
- Read Practicing Trustworthy Machine Learning (book)
- Take AI Governance in 3 Weeks (live online course with Ana Chubinidze)
Schedule
The time frames are only estimates and may vary according to how the class is progressing.
Tuesday, December 12, 2023, at 8:00am PT / 11:00am ET
- Interactive discussion and Q&A (60 minutes)
Your Hosts and Guests
Beena Ammanath
Beena Ammanath leads the global Deloitte AI Institute and the Technology Trust Ethics practice at Deloitte and is the author of Trustworthy AI and Zero Latency Leadership. She’s also the founder of Humans For AI, a nonprofit organization dedicated to increasing diversity in AI. She’s an award-winning senior executive with extensive global experience in AI and digital transformation spanning e-commerce, finance, marketing, telecom, retail, software products, services, and industrial domains with companies such as GE, HPE, Thomson Reuters, British Telecom, Bank of America, e*trade, and a number of startups. She serves on the board of AnitaB.org and on the advisory board at Cal Poly College of Engineering and has been a board member and advisor to several technology startups. Beena thrives on envisioning and architecting how data, artificial intelligence, and technology in general can make our world a better, easier place to live for all humans. Learn more about Beena at beenammanath.com.
George Anadiotis
George Anadiotis’s got tech, data, and media and is not afraid to use them. An analyst, consultant, engineer, researcher, and writer, George also founded Linked Data Orchestration, Connected Data World, the Year of the Graph, and Cricket Hill. He’s a VentureBeat contributor and a coauthor of the first book on personal knowledge graphs.