Human Intelligence in AI: Building Trust and Governance

Schedule

Thu Nov 13 2025 at 03:00 pm to 07:00 pm

UTC-06:00

Location

Morningstar Chicago office | Chicago, IL

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

Join Women in Data Science (WiDS) Chicago, Morningstar, 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 | WiDS Chicago Ambassador | AI 2030 Global Fellow
  • Representative, Burtch Works – Highlights from the 2025 AI & Data Science Compensation Report
  • Additional speakers to be announced

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.



Agenda

πŸ•‘: 03:00 PM - 03:30 PM
Registration
πŸ•‘: 03:30 PM - 04:00 PM
Networking
πŸ•‘: 04:00 PM - 04:30 PM
Burtch Works AI & Data Science Compensation Report
πŸ•‘: 04:45 PM - 05:15 PM
Second Presentation (TBD)
πŸ•‘: 05:20 PM - 06:00 PM
The Human Factor in Trustworthy AI: Governance, Bias, and Oversight Abstract
Host: Anusha Dwivedula

Info: 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, transparent, and accountable. Panelists will discuss the role of diverse teams in reducing bias, the importance of governance frameworks and ethical review boards, and the ways cross-functional collaboration between data scientists, product leaders, policymakers, and end-users strengthens trust. Attendees will gain practical insights into building organizational cultures where responsible AI isn’t an afterthought, but a foundation for innovation.


πŸ•‘: 06:10 PM - 07:00 PM
Networking
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Where is it happening?

Morningstar Chicago office, 22 West Washington Street, Chicago, United States

Event Location & Nearby Stays:

Tickets

USD 0.00

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