As the AI, Analytics, and the Future of Work Initiative explores the economic and social transformations brought about by digital technology, we will be planning events for students, alumni, and the global business community. Please check back to learn about future events as we plan them, or watch videos from our past events.
AI, Analytics and the Future of Consulting
Online | 12 – 1pm ET
AI and Analytics are rapidly changing how consulting firms operate and the services they provide to their clients. Larry Lerner and Bryce Hall from QuantumBlack-McKinsey will discuss the future of AI in consulting, including what new areas of consulting AI and analytics are emerging and what skills are needed to succeed in the field.
Larry Lerner, Partner, QuantumBlack-McKinsey
Larry advises financial institutions on advanced analytics, data transformations, and scaling of digital and analytics capabilities. In addition, he helps them to develop strategies for risk and fraud analytics and achieve insight-driven product and customer growth. His recent work includes helping clients improve their advanced-analytics programs, launch digital banks and data businesses, and create centralized analytics environments.
Larry is a frequent author and speaker, presenting often on topics ranging from advanced analytics to analytics transformations. Until recently, he led the global financial-services and risk-analytics practices at a global management-consulting and professional-services firm. Prior to that, he held leadership positions at a number of financial institutions, where he led statistics and data-analysis teams as well as product development and credit policy for a US credit card business.
Bryce Hall, Solution Associate Partner, QuantumBlack-McKinsey
Bryce advises organizations on digital and analytics transformations, and leads the development of McKinsey’s proprietary digital and analytics assessment tools, which include the analytics quotient and digital quotient. He also coled the development of McKinsey’s digital- and analytics-transformation playbook. His publications have appeared in the Harvard Business Review and MIT Sloan Management Review, and been cited in Forbes, Entrepreneur, and the Wall Street Journal.
In his work helping clients develop meaningful insights and create competitive advantage, Bryce focuses on topics that include strategy, organization and talent, agile delivery and culture, data, technology, models and tools, and adoption and scaling. He serves companies across industries, and has particular expertise in consumer, healthcare, and the financial-services sector.
Moderated by Nicholas Lovegrove, Professor of Practice, McDonough School of Business Management Area, Former Senior Partner at McKinsey
Introduction by Alberto G Rossi, Professor of Finance and Director of the AI, Analytics, and Future of Work Initiative, McDonough School of Business
2023 Past Events
ChatGPT and the Future of Work
Online | 2 – 3:30pm ET
As Artificial Intelligence chatbots like ChatGPT become more powerful and widely available, they will likely affect labor market outcomes. Depending on the roles and industries, we can expect algorithms to either complement workers’ competencies and increase their productivity or reduce the employability of humans altogether. Understanding these trends is crucial for policymakers, company executives, and individuals because they will likely affect the types of jobs that will be in high demand, the types of tasks that individuals will have to perform on the job, and the skills needed to be successful in the labor market.
This is a virtual public event on the future of work in light of the development of language models like ChatGPT. The event will feature an introduction and technological overview from Brookings David M. Rubenstein Fellow Anton Korinek, who is an expert on language models. A keynote panel of world-leading experts will follow to discuss his remarks and other trends in the labor markets.
Sanjay Patnaik, Director – Center on Regulation and Markets Bernard L. Schwartz Chair in Economic Policy, Development Fellow – Economic Studies
Anton Korinek, David M. Rubenstein Fellow – Economic Studies, Center on Regulation and Markets
Susan Athey, The Economics of Technology Professor – Stanford Graduate School of Business
David Autor, Professor of Economics and Margaret MacVicar Faculty Fellow – Massachusetts Institute of Technology
Prasanna Tambe , Associate Professor of Operations, Information and Decisions – The Wharton School, The University of Pennsylvania
Alberto Rossi, Professor and Director of the AI, Analytics, and Future of Work Initiative – Georgetown University
Director Alberto Rossi presented at event: Fintech, Robo-Advising and Cryptocurrencies
Hosted by the Mayo Center for Asset Management at the University of Virginia and the Investment Company Institute
Returning to its traditional, in-person format, the 2023 Academic Practitioner Symposium on Mutual Funds and ETFs convened academics and practitioners with a focus on fintech, cryptocurrency, and robo-advising.
- Presenter: Alberto Rossi, Professor and Director of the AI, Analytics, and Future of Work Initiative, Georgetown University McDonough School of Business
- Discussant: Michael Reher, Assistant Professor of Finance, UC San Diego Rady School of Management
- Discussant: Scott Smith, Director of Advice Relationships, Cerulli Associates
Director Alberto Rossi spoke at event: Workshop on Machine Learning for Investor Modelling
Hosted by The Fields Institute
The application of machine learning and AI in modelling investor behaviours is a natural partnership. This partnership has many unearthed areas of research, that includes: Analyzing transactional data using AI, Designing AI-based financial services,
AI and the role of financial advisors, Analyzing the behaviours of financial analysts and effect of decisions on market conditions, and Documentation of AI for client communication and regulators.
Understanding investor behaviors is paramount to each of these research areas, particularly in designing effective robo-tools for investors, advisors, dealerships, banks, and regulators. Particular interest lies in learning about investor behaviors during the 2020 market crash informed by their previous behaviors. This workshop will bring together theoretical and industrial machine learners, quantitative finance experts, financial industry practitioners, and fintech entrepreneurs to share their understanding of how AI can be employed to better model investor behaviors and guide the next steps in the research path of behavioral finance and machine learning.
- Alberto Rossi, Professor and Director of the AI, Analytics, and Future of Work Initiative, Georgetown University McDonough School of Business
Revolutionizing Cross-Border Payments and Trade Financing with FinTech
12 – 1pm | Zoom webinar
Please join the AI, Analytics, and the Future of Work Initiative for a virtual talk on FinTech and International Trade. Small and Medium Size Enterprises (SMEs) account for 43% of cross-border trade volume but are seven times more likely to be denied trade financing than multinational companies. Igor Zaks, the co-founder of 40Seas, discusses how 40Seas leverages AI and data-driven technologies to extend the accessibility of working capital for SME importers, exporters, freight forwarders, and sourcing agencies.
- Igor Zaks is the Co-Founder and Chief Risk Officer of 40Seas, a fintech platform that digitizes and simplifies cross-border trade financing for SMEs around the globe. Igor is a seasoned finance professional, with extensive experience in banking, blue-chip corporates and consulting. Prior to joining the 40Seas founding team, Igor held senior banking roles at Citibank, Daiwa and Eurohypo/Commerzbank, and served as a senior executive at Dell on the financing and risk management teams. He was also a Managing Partner at SCF Capital, where he played a key role in launching the first supply chain financing platform, and is a seasoned consultant to many companies in the fintech space. Igor is a frequent speaker at major corporate events and sits on the advisory/editorial boards of TRF News and World of Open Account. Igor holds a Sloan Fellowship MSc (with distinction) from the London Business School and a Global Professional LLM from the University of Toronto.
Moderated by Volodymyr Babich, Dean’s Professor of Operations and Information Management
Introduction by Alberto G Rossi, Professor of Finance and Director of the AI, Analytics, and the Future of Work Initiative
2022 Past Events
Director Alberto Rossi Spoke at event: “Artificial intelligence and Upskilling
Hosted by The Brookings Institution
Rapid advances in artificial intelligence and other new technologies (e.g., advanced automation, robotics, and autonomous vehicles) will have a significant impact on our economic, political, and social systems, particularly on labor markets. This raises important questions on whether and how new technology impacts the need for employees to gain additional skills or retrain to succeed in an economy of the future. An increasing number of companies are pursuing such “upskilling” and “reskilling” initiatives, highlighting the importance of advancing our knowledge in this policy and research area.
On October 6, the Brookings Center on Regulation and Markets hosted an event focused on these critical issues. The event started with a keynote address from Andrew Ng, founder of Deep Learning.AI, co-founder and chairman of Coursera, and general partner of AI Fund. His speech was followed by a Q&A session, moderated by Alberto Rossi, a professor and director of the AI, Analytics, and Future of Work Initiative at Georgetown University. A panel of experts then discussed the intersection of artificial intelligence and upskilling in greater detail: David Estrada, chief legal and policy officer of Nuro, Inc.; Morgan Frank, assistant professor at University of Pittsburgh; and Gad Levanon, chief economist at Burning Glass Institute. The panel and Q&A sessions were moderated by Loni Mahanta, nonresident fellow in the Center on Regulation and Markets at Brookings.
- Sanjay Patnaik, Director – Center on Regulation and Markets Bernard L. Schwartz Chair in Economic Policy Development Fellow – Economic Studies
- Andrew Ng, Founder – DeepLearning.AI Co-founder and Chairman – Coursera General Partner – AI Fund
- Alberto Rossi, Professor and Director of the AI, Analytics, and Future of Work Initiative – Georgetown University
- Loni Mahanta, Nonresident Fellow – Economic Studies, Center on Regulation and Markets
- David Estrada, Chief Legal & Policy Officer – Nuro
- Morgan Frank, Assistant Professor – University of Pittsburgh
- Gad Levanon, Chief Economist – Burning Glass Institute
Building Social Science into the Foundation of AI Practice
Sponsored by the Center in Advanced Studies in the Behavioral Sciences
Machine learning, applied to appropriate datasets, enables optimizing metrics of interest. But machine learning alone does not tell us how to construct the datasets, select appropriate target metrics to optimize, or manage ethical tradeoffs. AI development teams need tools to better navigate such issues in partnership with relevant end-users and stakeholders. Designing such socio-technical systems requires ideas from disciplines such as ethics, psychology, organizational design, and behavioral economics. What does such a field look like? What steps will get us there? Join Kristian Hammond, Daniel Ho, and Jennifer Logg in conversation with Jacob Ward as they outline a new field of AI practice whose scientific foundation extends beyond machine learning and embraces social science.
- Kristian Hammond, Bill and Cathy Osborn Professor of Computer Science, Northwestern University
- Daniel Ho, William Benjamin Scott and Luna M. Scott Professor of Law, Stanford University, CASBS faculty fellow (2017-22)
- Jennifer Logg, Assistant Professor of Management, Georgetown University
- Moderated by Jacob Ward, Correspondent, NBC News, CASBS fellow (2018-19)
2021 Past Events
How is AI Impacting the Workplace?
Learn how Technology and AI is changing the way companies are operating, from the way they make decisions to the way they hire and motivate employees. The panel also will address how data collected from private companies can provide insights for the public good.
- Jim Manzi, Founder of Foundry.ai and author of “Uncontrolled”
- Matthew Breitfelder, Global Head of Human Capital and Senior Partner at Apollo
- Prasad Setty, Vice President of People Operations at Google
- Fiona Greig, Managing Director and the Co-President at the JPMorgan Chase Institute
Moderated by Alberto Rossi, Provost’s Distinguished Associate Professor of Finance
Disrupting Personal Finance with Robo Advisors
In partnership with FMA International, the Mayo Center for Asset Management and the AI, Analytics, and Future of Work Initiative at Georgetown invite you to join us for an upcoming session of our Virtual Seminar Series. This session will explore the promises and pitfalls of robo-advising. The FinTech revolution has brought with it many advances in asset management, including the area of dispensing personal financial advice without the interaction of human advisors. Our guest speaker will examine the uptake of this burgeoning tool and assess its impact on financial decision-making by investors – both the good and the bad.
- Alberto Rossi, Provost’s Distinguished Associate Professor of Finance, Director of the AI, Analytics and Future of Work Initiative, McDonough School of Business, Georgetown University
Moderated by Pedro Matos, John G. Macfarlane Family Chair and Professor of Business Administration, Academic Director of Richard A. Mayo Center for Asset Management, University of Virginia Darden School of Business
Developing a “Theory of Machine” to Examine Perceptions of Algorithms
Sponsored by the Max Planck Institute for Human Development
Professor Jennifer Logg focuses on how individuals can assess themselves and the world more accurately by using advice and feedback produced by algorithms (scripts for mathematical calculations). In this CHM Seminar Series she discusses her primary line of research, Theory of Machine. Broadly, this work examines how people expect algorithmic and human judgment to differ.
- Jennifer Logg, Professor of Management, Georgetown University, McDonough School of Business
January – March
Global Virtual Seminar Series on Fintech
Sponsored by Georgetown Center for Financial Markets and Policy.
- AI in Asset Management Day (January 29, 2021)
- Cybersecurity Day (February 12, 2021)
- Trading Apps Day (March 5, 2021)
2020 Past Events
AI and the Future of Work
Sponsored by the Georgetown University Alumni Association
Artificial intelligence is an integral part of our daily lives, and its presence will only continue to grow in a world that has been indelibly changed by COVID-19. Between organizations that have gone entirely remote and unemployed workers in need of new opportunities, to the shifting landscape of matching talent with opportunities, many are looking to artificial intelligence to mitigate the issues we face, and to build a more prepared and effective workforce. While it is vital for us to lean into the inevitable power of AI, we must also recognize and explore the ethical implications of AI. Where does our humanity end in a world that is ever-increasingly tied to AI?
Join Paul Almeida (P’16, ‘20), dean of Georgetown’s McDonough School of Business, and alumni in the world of AI for a look at how AI is shaping the future of work and what steps are being taken to prepare the next generation workforce.
- Flynn Coleman (F’03), author, A Human Algorithm
- Maggie Little, founder and director, Ethics Lab, Kennedy Institute of Ethics
- Fabio Rosati (B’87, P’18, ‘23), executive chairman, Snagajob
- Jason Schloetzer, associate professor, McDonough School of Business.
Big Data, Small Data, and Covid-19
Sponsored by the Georgetown McDonough Alumni Relations Office.
Algorithms and Decision-Making: Early Career Researchers Data Blitz
Subheading: Sponsored by the Psychology of Technology Institute
The Psychology of Technology Institute is pleased to present an exclusive virtual seminar, Algorithms and Decision-Making: Early Career Researchers Data Blitz. The data blitz featured six presentations from emerging researchers from a variety of disciplines.
- Noah Castelo, University of Alberta: Noah is an assistant professor in the marketing group at the University of Alberta School of Business. His research focuses on the psychology and marketing of artificial intelligence, and he teaches consumer behavior in the B.Comm. program. He received his PhD from Columbia Business School. You can follow him on Twitter or visit his website for more information.
- Jennifer M. Logg, Georgetown University: Jennifer is an Assistant Professor of Management at Georgetown University’s McDonough School of Business. Prior to joining Georgetown, she was a Post-Doctoral Fellow at Harvard University. She received her PhD from the Management of Organizations department at the University of California, Berkeley’s Haas School of Business. Jennifer’s work examines why people fail to view themselves and their work realistically. Her research focuses on how individuals can assess themselves and the world more accurately by using advice and feedback produced by algorithms (scripts for mathematical calculations). You can visit her website for more information.
- Hatim A. Rahman, Northwestern University: Hatim is an Assistant Professor of Management and Organizations at the Kellogg School of Management, Northwestern University. Prior to joining Kellogg, Hatim received his PhD and Masters in Management Science and Engineering from Stanford University and his B.S. in Business Administration from the University of Illinois at Urbana-Champaign. His research investigates how artificial intelligence, undergirded by algorithms, is impacting the nature of work and employment relationships in organizations and labor markets. Hatim’s work has received several awards, including from INFORMS, Academy of Management, Psychology of Technology Institute, and ICIS.
- Teodora Tomova Shakur, New York University: Teodora is a 5th-year PhD Candidate at New York University, Stern School of Business. Prior to joining NYU Stern, she gained industrial experience as an organizational consultant and HR professional, giving a start to her career as a researcher. Teodora’s research interests focus on unpacking the motivations of network tie favoritism (e.g. nepotism, cronyism) and the implications of such favoritism on organizational diversity and equality. Additionally, Teodora is interested in exploring the role of automation in hiring processes and the perceived utility of algorithmic recommendations in comparison to incumbent employees’ hiring recommendations for organizational diversity, performance, and new hire socialization.
- Heather Yang, Massachusetts Institute of Technology: Heather is an organizational psychologist and PhD candidate at MIT’s Sloan School of Management, where she has been recognized as an MIT Presidential Fellow. Her research is on how social information embedded in novel technologies (such as artificial intelligence) influences their use and the psychological factors that dissuade or engage users from algorithmic advice. She is currently on the job market for tenure-track faculty positions in management departments. You can follow her on Twitter or visit her website for more information.
- Michael Yeomans, Imperial College: Michael is currently an Assistant Professor at Imperial College Business School. His research focuses on the digital transformation of conversation. He uses methods from machine learning and natural language processing to understand and improve the ways that people make decisions in their social interactions. You can follow him on Twitter or visit his website for more information.
- Moderated by PTI co-directors Nate Fast (USC) and Juliana Schroeder (UC Berkeley).
A Reskilling Revolution, Lifelong Learning, and the Future of Work
Sponsored by the Georgetown McDonough Alumni Relations Office
Employers are increasingly emphasizing the need for prospective and current employees to reskill throughout their careers. Join us for a moderated discussion about how emerging technologies are helping employees reskill on the job, and the rapidly increasing employment value of certifications and credentials obtained from outside of the university setting.
March – November
Global Virtual Seminar Series on Fintech
Sponsored by the Georgetown Center for Financial Markets and Policy.
- Natural Language Processing Day (November 6, 2020)
- Man vs. Machine Day (October 30, 2020)
- Social Finance Day (October 16, 2020)
- Robo-Advising Day (September 25, 2020)
- Fintech Apps Day (September 18, 2020)
- Data Privacy Day (July 24, 2020)
- Machine Learning Day (July 10, 2020)
- Crypto Day (June 16, 2020)
- Financial-Market Information and Corporate Finance: An Overview with New Perspectives for the Fintech Revolution (June 12, 2020)
- Predictably Unequal? The Effects of Machine Learning on Credit Markets (June 5, 2020)
- When Fintech Competes for Payment Flows (May 29, 2020)
- Algorithmic Accountability: A Legal and Economic Framework (May 22, 2020)
- Bitcoin’s Fatal Flaw – The Limited Adoption Problem (May 15, 2020)
- Beyond the Balance Sheet Model of Banking – Implications for Bank Regulation and Monetary Policy (May 8, 2020)
- Cryptocurrency in the Coronavirus Crisis (May 1, 2020)
- Do Credit Card Companies Screen for Behavioral Biases? (April 24, 2020)
- Kill Zone (April 17, 2020)
- Stable Fees: A Predictable Market for Cryptocurrencies (April 3, 2020)
- On the Rise of Fintechs – Credit Scoring Using Digital Footprints (March 27, 2020)