Generative AI event

Panel A: Generative AI and the Future of Work

Panelists

Michael Bennett, Director of Education Curriculum and Business Lead for Responsible AI, EAI

Moderator:

Carmen Sceppa Dean, Bouvé College of Health Sciences

Rai Winslow, Director of Life Science and Medical Research; Professor of Bioengineering, Roux Institute

Matthew Goodwin, Interdisciplinary associate professor, Khoury College of Computer Sciences

Beth Noveck, Director, Burnes Center for Social Change

Panel A: Generative AI and the Future of Work

80% of jobs will be impacted by Generative AI, most likely accelerating work.

We still need humans in the loop.

How and why?

Panel B: ChatGPT and the Future of Education

Panelists

Moderator

Constance Yowell

Senior Vice Chancellor, Educational Innovation

Balasz Szelenyi, Associate Teaching Professor, College of Professional Studies

Dan Koloski, Head of Learning and Professor of the Practice, Roux Institute

John Basl, Associate Professor of Philosophy, College of Social Sciences and Humanities

Vance Ricks, Associate Teaching Professor, College of Social Sciences and Humanities

Kelly Garneau, Teaching Professor in English, College of Social Sciences and Humanities

Panel B: ChatGPT and the Future of Education

The evolution of this technology in education.

How are learners and faculty using these tools as part of the educational experience?

How is Northeastern University already using these tools in the classroom?

Panel C: Implementing Generative AI in the Workplace - Opportunities and Threats

Panelists

Moderator: Usama Fayyad

Executive Director, Institute for Experiential AI

Sam Scarpino, Director of AI + Life Sciences, Institute for Experiential AI

Professor of the Practice, Khoury College of Computer Sciences

Cansu Canca, Ethics Lead & Research Associate Professor, Institute for Experiential AI

Yakov Bart, Associate Professor of Marketing and Joseph G. Riesman Research Professor, D'Amore-McKim School of Business

David Smith, Associate Professor, Khoury College of Computer Sciences

Panel C: Implementing Generative AI in the WorkplaceOpportunities and Threats

As organizations implement Generative AI technologies in the workplace, what do they need to know?

What do they have to be careful about?

What are the serious ethical, technical and legal issues that they must navigate?

Concluding Remarks & Announcements

Usama M. Fayyad, Ph.D. Executive Director, Institute for Experiential AI

Experiential Education in AI & Data Science –

AI Solutions Hub

For students, Co-ops, and employees of partners

• AI and Data Science (DS) are tightly related because of the dependence of successful AI on Data and Machine Learning (ML)

• Labelled data is expensive to get and its quality is highly variant

• Building AI/ML solutions requires a lot of work that a classroom experience does not typically offer

Contact us today at: EAI@northeastern.edu to start a project and learn more about the details

Experiential Education in AI & Data Science –

AI Solutions Hub

For students, Co-ops, and employees of partners

NU Better prepares our graduates by exposing them to immersive experiential education in the context of project delivery in AI/ML/DS working closely with companies and organizations on projects at the AI Solutions Hub at the Institute for EAI

• An evolution of our co-op approach at the Institute for EAI where our students work (along with learners from employers) on making AI work with guidance of experts and faculty

Sun Life - A Case Study:

• Define a solution, Implement it, Run a class in parallel with students and corporate learners

• Sun Life got a working solution, access to graduating talent, and upskilling on the Actuarial Team

Contact us today at: EAI@northeastern.edu to start a project and learn more about the details

Responsible AI Practice – Partner with NU’s Institute for EAI For Companies & Organizations

• Responsible AI enhances technology. Responsible AI Practice at EAI@NU bridges academia and practice.

• RAI Team works closely with companies and organizations to assess the risks and opportunities that AI technologies give rise to.

• We build Responsible AI tools, workflows, and practices for companies and organizations and guide them in AI ethics governance, transforming them into competitive and ethical actors in the market.

• Our Responsible AI offerings are customized to each project. We draw on the expertise in ethics, AI, and the subject matter from our faculty and our worldwide  AI Ethics Advisory Board to understand and resolve the ethical issues.

• RAI @NU provides a unique opportunity for students and researchers to work at the intersection of academia and industry.

Contact us today at: EAI@northeastern.edu to start a project and learn more about the details

Targeted AI Courses for Employee Upskilling

Training at Many Levels to Enable Employers to Upskill Existing Talent for Using AI

EAI is ready to help employers effectively upskill employees to meet the complex challenges of understanding and leveraging AI technologies for greater efficiencies and significant growth.

• EAI is offering certification trainings to help companies benefit from AI technologies, and describe how they can implement optimal upskilling of in-house talent.

EAI will be offering a range of courses to help organizations leverage AI, including:

• AI and Law: Issues and Applications – a case study-based course that explores the impact of contemporary modes of AI on the legal dimensions of the workplace and on the practice of law

• AI Upskilling for Businesses – this course upskills engineers, data engineers and those in adjacent fields on cutting edge applications of ML and NLP, emphasizing applications specific to the learners’ industry and productions processes

• Introduction to AI – a MOOC without prerequisites that serves as a comprehensive guide to critical AI topics, and which is presented by 20+ Northeastern faculty experts for a general audience.

Contact us today at: EAI@northeastern.edu to start a project and learn more about the details

Partner with the AI Solutions Hub to create ROI-driven solutions with fulltime professional data scientists and engineers featuring:

-

Faculty Expertise and Guidance

- Full-time Mentored Co-ops

- Integrated Educational Component to Enable Employees

- Data Opportunity Roadmap

- Exploratory Data Analysis & Measurement

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Customer Segmentation

- Predictive Analytics (Process Automation, Forecasting)

- Recommendation Engines

- Bias Audits with Responsible AI Practice

“ We want to build a program that is sustainable and we can keep optimizing and building. By working with Northeastern, we are building our capabilities and not just acquiring a tool.”

-AI Solutions Hub Partner

Responsible AI Services

Partner with the Responsible AI Practice to build an ethical platform for AI innovation and enable growth.

“

The company wants to use ChatGPT, but a lot of them have hesitation, simply because there are a lot of unknowns and risks. But the Responsible AI program we have now enables us to explore that in a way that makes people feel safe.”

- Responsible AI Partner

Thank you.