Human Intelligence in AI: Building Trust and Governance

Human Intelligence in AI: Building Trust and Governance

By Women in Data Science Chicago

Join industry leaders to learn how governance and transparency make AI systems accountable, ethical, and trustworthy.

Date and time

Location

Morningstar Chicago office

22 West Washington Street 7th Floor Chicago, IL 60602

Speakers

Agenda

3:00 PM - 3:30 PM

Registration

3:30 PM - 4:00 PM

Networking

4:00 PM - 4:30 PM

Burtch Works AI & Data Science Compensation Report

Megan Carmean

4:45 PM - 5:15 PM

Second Presentation (TBD)

5:20 PM - 6:00 PM

The Human Factor in Trustworthy AI: Governance, Bias, and Oversight Abstract

Anusha Dwivedula


When it comes to AI, trust is built as much on people and processes as it is on algorithms. This panel will explore how organizations can ensure AI systems are not only accurate but also fair, transp...

6:10 PM - 7:00 PM

Networking

Good to know

Highlights

  • 4 hours
  • In person

About this event

Science & Tech • Science

Join Women in Data Science (WiDS) Chicago, Morningstar WIT, and Burtch Works for an engaging discussion on how organizations are bringing human intelligence into AI systems to strengthen trust, governance, and accountability.

Topic:
Human Intelligence in AI: Building Trust and Governance

Description:
Industry leaders from Morningstar, Burtch Works, DataGrail, and many more will share real-world approaches to operationalizing Responsible AI. The session will explore how human oversight, transparent design, and robust governance frameworks can help organizations strike a balance between innovation and ethics.

Confirmed Speakers/Panelists:

  • Anusha Dwivedula - Director of Product, Analytics, Morningstar
  • Megan Carmean - Director of Delivery, Burtch Works
  • Shafia Zubair - Director, Head of Cybersecurity, Johnson Controls International
  • Suemee Shin - SVP – Core Data Services Product Management, Northern Trust Asset Management
  • Kristina Chambers - Chief Data & Analytics Officer (CDAO), TTX Company.
  • Stefanie Kirmer - Staff Machine Learning Engineer, DataGrail

Who Should Attend:

  • Data, AI, and Analytics Professionals
  • Product and Engineering Leaders
  • Risk, Compliance, and Ethics Officers
  • Policymakers, Academics, and Researchers
  • Anyone interested in operationalizing trust in AI systems

Location:
Morningstar Headquarters
22 W Washington St, Chicago, IL 60602

Afterwards, join us for networking and informal discussion over refreshments.


Frequently asked questions

Organized by

Women in Data Science Chicago

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Free
Nov 13 · 3:00 PM CST