Extended Intelligence and Humans with Machines has been saved
Extended Intelligence and Humans with Machines
Our seventh event in the series was presented by MIT Media Labs and Deloitte AI Institute.
Leading Conversations in AI
Launched on March 8, 2021, the Deloitte AI Institute discusses trending topics in the AI space with the series “Leading Conversations in AI”. Here you find answers to questions like how to implement AI in your workplace, what are the ethical ways to use AI, and what is the role of diversity within AI. In this series, you gather perspectives from experts and researchers from a varied range of industries, startups, enterprises, academia, and research groups.
AI impacts businesses across sectors and geographies. Hence, there is a need for more diverse voices in the workforce to ensure that AI works for everyone. Deloitte is one of the pioneers in women’s advancement programs and diversity initiatives. With the Deloitte AI Institute, we continue to honor this commitment by helping women advance in AI knowledge and AI-related careers. Through the Leading Conversations in AI Meet-up Series, we talk to women leaders who are making an impact on artificial intelligence and its future.
Throughout the series, our speakers will deep dive into a multitude of dimensions of AI in each session - conversational AI, robotics, ethics, scaling AI, future of work, diversity in AI, synthetic data, MLOps, neuromorphic computing, computer vision, data and AI governance, speech recognition, and many more.
The seventh installment brings media and communications experts in conversation on bringing extended intelligence to AI with the help of diversity and ethics.
- Cynthia Breazeal, Professor of Media Arts and Sciences at MIT
- Pattie Maes, Professor of Media and Technology, MIT Media Labs
- Dr. Kate Darling, Communications and Research Specialist, MIT Media Labs
- Patricia Henderson, Partner at Deloitte Consulting Practice
Patricia Henderson navigates through the all-women panel of specialists in media and communications to explore why diversity is important for AI implementations to succeed.
This article is part of an ongoing series of interviews with executives. The executives’ participation in this article are solely for educational purposes based on their knowledge of the subject and the views expressed by them are solely their own. This article should not be deemed or construed to be for the purpose of soliciting business for any of the companies mentioned, nor does Deloitte advocate or endorse the services or products provided by these companies.
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