Leading with AI, Responsibly

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Northeastern University Boston, MA October 18, 2023

#LeadWithAI23


AGENDA 9:00 AM

Welcome

9:15 AM

What if?

Opening Remarks with Usama Fayyad and Cansu Canca, the Institute for Experiential AI Opening keynote with Dan Rosenswieg, Chegg

9:40 AM Transforming the World of Consumer and

Small Business Finance with Generative AI Keynote with Ashok Srivastava, Intuit

10:05 AM What is Human-Centered AI?

Keynote with Peter Norvig, Google and Stanford HAI

10:30 AM

Coffee Break

10:45 AM

utting Responsible AI into Practice: P When, How and Who

Panel with Xuning (Mike) Tang, Verizon; Philip Brey, University of Twente; John Havens, IEEE Standards Association; Ricardo Baeza-Yates and Cansu Canca, the Institute for Experiential AI

11:35 AM

esponsible AI Leadership: Chief Data R Officer’s Perspective and Challenges Keynote with Ronke Ekwensi, T-Mobile

12:00 PM

I for the World’s Big Challenges: Health, Life A Sciences, Climate & Sustainability Lightning Talks with Gene Tunik, Sam Scarpino and Ardeshir Contractor, the Institute for Experiential AI

12:30 PM

Complimentary Lunch

1:30 PM

echnical and Extra-Technical Touchstones T of Trust in AI Keynote with Cynthia Dwork, Harvard University


1:55 PM

enerative AI Goes to Work G Enterprise Use Cases

Panel with Manish Worlikar, Fidelity Institutional; Aleksandar Lazarevic, Sigmoid Analytics; and Byron Wallace, Khoury College of Computer. Moderator: James Shanahan, Institue for Experiential AI

2:40 PM What’s Next in AI:

An Investor’s Perspective

Fireside Chat with Usama Fayyad, the Institute for Experiential AI and Rudina Seseri, Glasswing Ventures

3:00 PM

Coffee Break

3:20 PM The Human Side of AI

Keynote with Michelle Gansle, McDonald’s

3:45 PM AI as a Business Disruptor: What Your Board Needs to Know (and Do) on AI

Panel with Michael Nieset, Heidrick & Struggles; David De Cremer, Northeastern University and Linda Avery

4:15 PM

I Literacy Lab: New Insights into Public A Perceptions of AI

Panel with Joanna Weiss and Michael Workman, AI Literacy Lab at Northeastern University

4:30 PM

utting Edge Research in AI: Driving C Innovation in the Industry

Lightning Talks with Jennifer Dy, the Institute for Experiential AI; Sarah Ostadabbas, Yakov Bart and Deniz Erdogmus, Northeastern University

5:00 PM

Closing Remarks

5:15 PM

Networking and Cocktail Hour

ai.northeastern.edu


“At the Institute for Experiential AI, we are focused on solving high-impact, real world challenges, advancing research in human-centric Responsible AI, and developing solutions in partnership with organizations across all industries.

What do we mean by Experiential AI? Simply: AI with a human in the loop. The whole idea is to make machines work with humans in order to both assist machine intelligence and extend human intelligence.” USAMA FAYYAD

Executive Director, Institute for Experiential AI; Professor of the Practice, Khoury College of Computer Sciences


5 3 100

RESEARCH FOCUS AREAS Life Sciences, Health, Climate & Sustainability, Responsible AI, Hybrid Language Models ADVISORY PRACTICES AI Solutions Hub, Responsible AI Practice, AI Ethics Advisory Board

FACULTY NEARLY AIACROSS

14 GLOBAL NORTHEASTERN CAMPUSES

A GROWING TEAM

OF RESEARCH SCIENTISTS AND POSTDOCS ADVANCING THE STATE-OF-THE-ART IN AI

ai.northeastern.edu


RESEARCH FOCUS AREAS


World class experts solving the biggest challenges and advancing research in Life Sciences, Health, Climate, Responsible AI, and Hybrid Language Models.


AI + Life Sciences: Building a global nexus for AI + Life Sciences research and development that accelerates drug discovery, diagnostics, therapeutics and more.

AI + Health: Advancing health and healthcare innovation with the combined power of applied research, experiential learning, and human-centric AI for a healthier, more equitable future.

Responsible AI: Shaping the future of technology by providing organizations with a comprehensive approach to the ethical and responsible use of AI.

AI for Climate & Sustainability (AI4CaS): Leveraging machine learning, graph analytics, agentbased models, and human-AI systems to enable new insights in climate, sustainability, and infrastructural resilience.

Hybrid Language Models: Advancing language model research and building tools for information retrieval and synthesis with applications in academic publishing, health sciences, and more.


AI + Life Sciences

AI + Health

SAMUEL SCARPINO Director, AI + Life Sciences

EUGENE TUNIK Director, AI + Health

Responsible AI

Responsible AI

RICARDO BAEZA-YATES Director of Research

CANSU CANCA Director, Responsible AI Practice

AI for Climate & Sustainability

Hybrid Language Models

AUROOP GANGULY Director, AI for Climate & Sustainability

KENNETH CHURCH Professor of the Practice Lead, Hybrid Language Models


APPLIED AI SOLUTIONS


At the Institute for Experiential AI, we believe the best way to advance artificial intelligence is in the real world, applying the latest research to the urgent challenges. Each of our Applied AI solutions are grounded in our unique, human-centric approach to innovation. AI Solutions Hub A dedicated team of data scientists, engineers, project managers, and students applying the latest AI know-how to unique business problems. Responsible AI Practice Professional expertise from AI practitioners, ethicists, and researchers on how to deploy AI solutions, responsibly. AI Ethics Advisory Board An on-demand, independent source of expert guidance for organizations seeking to leverage AI responsibly. Corporate Membership A vital resource of multidisciplinary talent and support from the university to the board room.


AI EDUCATION + A I FACULTY


Experiential Education Preparing the current and future generation of AI leaders with hands-on training that demystifies AI. Through partnerships, co-op programs, and professional training, the Institute equips students and lifelong learners with the essential skills and experience to leverage today’s technology. MICHAEL BENNETT Director of Education Programs, AI Law and Policy

AI Faculty Our 95+ multidisciplinary faculty members from across Northeastern University push the frontiers of technology and solve grand problems across industries. Our global faculty specialize in fields including: ethics, computer science, social sciences, statistics, engineering, and more.

JENNIFER DY Director AI Faculty


Thank you for joining us!

#LeadWithAI23


We look forward to solving your organization’s most pressing problems with AI

Download information about our Research, Applied AI Solutions, Corporate Membership and more!

ai.northeastern.edu


#LeadWithAI23


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