GRAND RAPIDS – How can Michigan harness artificial intelligence to strengthen businesses, improve healthcare and create opportunities while ensuring communities have a voice in shaping AI’s future?
That was the focus of the Humans in the Lead Community AI Summit hosted by Grand Valley State University in Grand Rapids.
In this MITechTV interview, host Mike Brennan talks with Mark Richards, a political science professor at Grand Valley State University, and Kareem Scales, CEO and founder of Scales Consulting, about the summit’s goals, discussions and key takeaways.
Richards and Scales helped organize the summit alongside Sama Mansour, Associate Dean of GVSU’s College of Computing.
The event brought together business executives, educators, elected officials, healthcare professionals, civil rights advocates, law enforcement representatives and community leaders to explore how artificial intelligence is transforming Michigan.
Topics covered in this interview include:
• AI and Michigan Businesses: How small businesses can use AI to improve productivity, scale operations and compete in an increasingly technology-driven economy.
• AI in Healthcare: Opportunities for artificial intelligence to improve healthcare services and outcomes.
• AI and Civil Rights: The implications of facial recognition, automated surveillance and other emerging technologies for privacy and public safety.
• AI Data Centers and Sustainability: Environmental concerns, community involvement and the importance of responsible infrastructure development.
• Community Engagement: Why people from different backgrounds and professions must participate in decisions about AI adoption.
• Building Trustworthy AI: How collaboration among government, business, universities and community organizations can help ensure AI benefits society.
The summit also featured a keynote presentation by Abre’ Conner of the NAACP, examining environmental and climate justice issues associated with artificial intelligence and data center development.
Richards and Scales explain why bringing people together across traditional professional and political boundaries is essential to building an AI future that advances human potential without leaving underserved communities behind.
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