University of Texas at Austin
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2020 Global Analytics Summit: Ethics in AI

McCombs School of Business McCombs School of Business

About the Conference

November 19, 2020 – November 20, 2020

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Machine learning and artificial intelligence algorithms promise many benefits such as overcoming human limitations and biases in decision-making and productivity. However, deployment of machine learning algorithms has shown that these algorithms may amplify existing biases in society, create new biases, increase privacy and cybersecurity risks, and pose novel ethical dilemmas.

The conference will explore how society and organizations can maximize the benefits and minimize the risks of these algorithms.

Specifically the conference will focus on the multi-dimensional nature of algorithmic risks and biases with speakers and panelists who are experts in the respective dimensions:

  • Legal and economics scholars and practitioners who will discuss how laws and regulations can foster algorithmic accountability and fairness
  • Organizational scholars and practitioners who will discuss how organizational governance and control mechanisms can mitigate algorithmic risks and biases
  • Computer science and data science scholars and practitioners who will discuss how their professions can foster ethical, responsible algorithm development approaches
  • Social-psychological scholars and practitioners who will discuss how individual-level awareness about pre-existing, implicit biases can be increased to foster ethical and responsible uses of algorithms.

Conference Information

Program Agenda

Program Agenda

View the Conference Program Book

Thursday, November 19

1:00 – 1:10 p.m. 

Introductory Remarks
Lilian F. Mills
, Interim Dean, McCombs School of Business
1:10 – 1:55 p.m.
 
 
Keynote Address
Ece Kamar, Senior Principal Research Manager, Microsoft Research
“In the Pursuit of Responsible AI: Developing AI Systems for People with People”
2:00 – 3:15 p.m.








Session I: Bias in AI: What are the Risks?
Moderator: Huseyin Tanriverdi, Associate Professor, Dept. of IROM, UT Austin
Speakers:
Sina Fazelpour, Postdoctoral Fellow, Carnegie Mellon Univ.
“Bias in Algorithm-Based Decision-Making: Overcoming Myopia and Solutionism”
Maria De-Arteaga, Assistant Professor, McCombs School of Business, UT Austin
“Risks of Compounding Injustices in Automated Recruiting”
Francesca Rossi, IBM AI Global Ethics Leader, IBM Research
“Addressing AI Bias: Beyond Technical Solutions”
3:30 – 4:45 p.m.




 

Session II: Ethics Aware Design of AI
Moderator: Joydeep Biswas, Assistant Professor, Dept. of Computer Science, UT Austin
Speakers:
Ken Holstein, Assistant Professor, Human Computer Institute, Carnegie Mellon Univ.
“Improving Practice in Machine Learning Practice”
Min Kyung Lee, Assistant Professor, School of Information, UT Austin
“AI for All: Enabling Participatory and Procedurally-Fair AI”
5:00 – 5:45 p.m.






Panel: Operationalizing Ethics of AI
Moderator: Luis Sentis, Human Centered Robotics Lab, School of Engineering, UT Austin
Panelists:
Luca Belli, Sr. Machine Language Researcher, Twitter
Ashley Casovan, Executive Director, AI Global
Andrew Zaldivar, Sr. Developer Relations Engineer, Ethical AI, Google Research
Alice Xiang, Head of Fairness, Transparency, and Accountability Research, Partnership on AI

 

Friday, November 20

8:15 – 9:00 a.m.

 
Morning Presentation
James Guszcza, Fellow, Ctr. for Advanced Study in the Behavioral Sciences, Stanford Univ.
“Human-Centered: Why Ethical and Effective AI Needs Human-Centered Design”
9:00 – 10:15 a.m.








Session III: AI Accountability
Moderator: Matthew Lease, Associate Professor, School of Information, UT Austin
Speakers:
Aaron Horowitz, Chief Data Scientist, ACLU
"'Technical’ Choices are Often Policy Choices”
Deborah Hellman, Professor of Law, Univ. of Virginia School of Law
“Big Data and Compounding Injustice”
Aaron Rieke, Managing Director, Upturn
“Awareness in Practice: Tensions in Access to Sensitive Attribute Data for Antidiscrimination”
10:30 – 11:45 a.m.





 
Session IV: Technology Determinism and Unethical Technologies
Moderator: Sherri Greenberg, Clinical Professor, LBJ School of Public Affairs, UT Austin
Speakers:
Anna Lauren Hoffmann, Assistant Professor, The Information School, Univ. of Washington
“Even When You Are a Solution You Are a Problem: Thinking Non-Ideally About Ethics and AI”
Junfeng Jiao, Director, UT Austin School of Architecture & Good Systems
“Smart Cities, Transportation, and Tech Determinism”
12:00 – 12:45 p.m. 







Panel: AI for Better and more Ethical Practices
Moderator: Tej Anand, Clinical Assistant Professor, Department of IROM, UT Austin
Panelists:
Adewole S. Adamson, Assistant Professor of Internal Medicine (Division of Dermatology), UT
Austin Dell Medical School
Elisa Celis, Assistant Professor, Yale University
Michael Chui, Partner, McKinsey & Co.
Michael Shepherd, Distinguished Engineer, Dell Technologies
1:00 Formal Conference Concludes/Breakout Sessions/Networking Time

Organizers

Organizers

Program Chairs

  • Maria De-Arteaga
  • Michael Sury

Program Committee

  • Tej Anand - McCombs School of Business, University of Texas at Austin
  • Susan Broniarczyk - McCombs School of Business, University of Texas at Austin
  • Andrea Christelle - McCombs School of Business, University of Texas at Austin
  • Maria De-Arteaga - McCombs School of Business, University of Texas at Austin
  • Ken Fleischmann - Good System and iSchool, University of Texas at Austin
  • Junfeng Jiao - Good Systems and the School of Architecture, The University of Texas at Austin
  • Prabhudev Konana - McCombs School of Business, University of Texas at Austin
  • Kumar Muthuraman - McCombs School of Business, University of Texas at Austin
  • Michael Sury - McCombs School of Business, University of Texas at Austin
  • Huseyin Tanriverdi - McCombs School of Business, University of Texas at Austin

Student Volunteers

  • Maria A. Blesa - McCombs School of Business, University of Texas at Austin
  • Sage Buchanan - McCombs School of Business, University of Texas at Austin

Administrative Support

  • John Lakavage - McCombs School of Business, University of Texas at Austin
  • Valerie Resendez - McCombs School of Business, University of Texas at Austin

Sponsors

Sponsors

Texas McCombs logo 

Texas McCombs Center for Analytics and Transformative Technologies  

Good Systems: A UT Grad Challenge

 

Fees

Fees

Fee: $0.00

Complimentary admission sponsored by the McCombs School of Business and the Center for Analytics and Transformative Technologies