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Artificial Intelligence and the Economy: Charting a Path for Responsible and Inclusive AI

April 27, 9:00 am EDT - 4:00 pm EDT

Please join NCRC’s General Council Brad Blower at “Artificial Intelligence and the Economy: Charting a Path for Responsible and Inclusive AI,” an event hosted by the U.S. Department of Commerce and National Institute of Standards and TechnologyStanford Institute for Human-Centered Artificial Intelligence (HAI), and the FinRegLab.

The symposium will bring together leaders from government, industry, civil society, and academia to explore potential opportunities and challenges posed by artificial intelligence and machine learning deployment across different economic sectors, with a particular focus on financial services and healthcare.

The event is designed to address how these technologies relate to ensuring inclusive economic growth, supporting diversity and financial inclusion, and mitigating risks such as bias and unfairness. It will feature presenters and panelists on the cutting edge of researching fairness and explainability in AI, as well as those working to develop policies and frameworks to evaluate and assess the goals of improving the trustworthiness, inclusiveness, and equity of AI deployment.

Register here. 

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Details

Date:
April 27
Time:
9:00 am EDT - 4:00 pm EDT
Event Categories:
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Website:
https://hai.stanford.edu/artificial-intelligence-and-economy-registration

Redlining and Neighborhood Health

Before the pandemic devastated minority communities, banks and government officials starved them of capital.

Lower-income and minority neighborhoods that were intentionally cut off from lending and investment decades ago today suffer not only from reduced wealth and greater poverty, but from lower life expectancy and higher prevalence of chronic diseases that are risk factors for poor outcomes from COVID-19, a new study shows.

The new study, from the National Community Reinvestment Coalition (NCRC) with researchers from the University of Wisconsin–Milwaukee Joseph J. Zilber School of Public Health and the University of Richmond’s Digital Scholarship Lab, compared 1930’s maps of government-sanctioned lending discrimination zones with current census and public health data.

Table of Content

  • Executive Summary
  • Introduction
  • Redlining, the HOLC Maps and Segregation
  • Segregation, Public Health and COVID-19
  • Methods
  • Results
  • Discussion
  • Conclusion and Policy Recommendations
  • Citations
  • Appendix

Complete the form to download the full report: