Sponsored
Trust: A Key to Achieving Business Value with AI
Presented byDeloitte
Organizations that harness the power of AI while effectively governing its associated risks and implementing the right safeguards can better enable innovation, break boundaries, differentiate from the competition, and drive better outcomes. Stakeholders, including customers, investors, C-suite executives, board members, and regulators, are demanding a focus on trust – ethics, governance, bias, controls, and more – as organizations embark on AI programs. How can organizations build trust in their AI programs to differentiate themselves and accelerate desired outcomes? In this session, we will explore a framework to articulate trust and develop safeguards for the responsible use of AI.
About the speakers
Irfan Saif, Principal, AI Co-Leader, Deloitte Risk and Financial Advisory
Irfan is a Deloitte Risk & Financial Advisory principal and Deloitte’s AI co-leader, Deloitte & Touche LLP. He has more than 25 years of technology and risk consulting experience and currently serves as a member of Deloitte’s US Board of Directors.
Elizabeth Bramson-Boudreau, CEO and Publisher, MIT Technology Review
Elizabeth Bramson-Boudreau is the CEO and publisher of MIT Technology Review, the Massachusetts Institute of Technology’s independent media company.
Since Elizabeth took the helm of MIT Technology Review in mid-2017, the business has undergone a massive transformation from its previous position as a respected but niche print magazine to a widely read, multi-platform media brand with a global audience and a sustainable business. Under her leadership, MIT Technology Review has been lauded for its editorial authority, its best-in-class events, and its novel use of independent, original research to support both advertisers and readers.
Elizabeth has a 20-year background in building and running teams at world-leading media companies. She maintains a keen focus on new ways to commercialize media content to appeal to discerning, demanding consumers as well as B2B audiences.
Prior to joining MIT Technology Review, Elizabeth held a senior executive role at The Economist Group, where her leadership stretched across business lines and included mergers and acquisitions; editorial and product creation and modernization; sales; marketing; and events. Earlier in her career, she worked as a consultant advising technology firms on market entry and international expansion.
Elizabeth holds an executive MBA from the London Business School, an MSc from the London School of Economics, and a bachelor’s degree from Swarthmore College.
Deep Dive
Artificial intelligence
Large language models can do jaw-dropping things. But nobody knows exactly why.
And that's a problem. Figuring it out is one of the biggest scientific puzzles of our time and a crucial step towards controlling more powerful future models.
OpenAI teases an amazing new generative video model called Sora
The firm is sharing Sora with a small group of safety testers but the rest of us will have to wait to learn more.
Google’s Gemini is now in everything. Here’s how you can try it out.
Gmail, Docs, and more will now come with Gemini baked in. But Europeans will have to wait before they can download the app.
Google DeepMind’s new generative model makes Super Mario–like games from scratch
Genie learns how to control games by watching hours and hours of video. It could help train next-gen robots too.
Stay connected
Get the latest updates from
MIT Technology Review
Discover special offers, top stories, upcoming events, and more.