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Artificial intelligence

Trust: A Key to Achieving Business Value with AI

March 25, 2020
Irfan Saif (Deloitte Risk and Financial Advisory) and Elizabeth Bramson-Boudreau (MIT Technology Review)
Irfan Saif (Deloitte Risk and Financial Advisory) and Elizabeth Bramson-Boudreau (MIT Technology Review)
Irfan Saif (Deloitte Risk and Financial Advisory) and Elizabeth Bramson-Boudreau (MIT Technology Review)

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

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

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chasm concept

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An MIT Technology Review series investigates how AI is enriching a powerful few by dispossessing communities that have been dispossessed before.

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open sourcing language models concept

Meta has built a massive new language AI—and it’s giving it away for free

Facebook’s parent company is inviting researchers to pore over and pick apart the flaws in its version of GPT-3

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spaceman on a horse generated by DALL-E

This horse-riding astronaut is a milestone in AI’s journey to make sense of the world

OpenAI’s latest picture-making AI is amazing—but raises questions about what we mean by intelligence.

labor exploitation concept
labor exploitation concept

How the AI industry profits from catastrophe

As the demand for data labeling exploded, an economic catastrophe turned Venezuela into ground zero for a new model of labor exploitation.

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Illustration by Rose WongIllustration by Rose Wong

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