Today, we're talking with Dr. Elizabeth M. Adams. Elizabeth is the Chief Engagement Officer at the Minnesota Responsible AI Institute and the CEO of EMA advisory services, where she curates knowledge-exchange initiatives with global leaders on the critical importance of responsible AI. She believes that responsible AI equals a better Minnesota to both preserve our state's natural resources and promote sustainable economic growth.
She's an author, TEDx speaker, and keynote speaker sharing her leadership of a responsible AI framework, which helps organizations sustain employee engagement. And I'm super excited for our listeners here to learn more about this framework and how they can apply it within their business and professional career.
If you are interested in learning about how AI is being applied across multiple industries, be sure to join us at a future AppliedAI Monthly meetup and help support us so we can make future Emerging Technologies North non-profit events!
Resources and Topics Mentioned in this Episode
- Becoming Invisible in the Age of AI
How individuals and communities risk being overlooked or "invisible" as AI systems make decisions that affect their lives.
Learn more about algorithmic invisibility - Discovering AI Bias and Building Ethics Principles
The process of uncovering bias in AI and the importance of establishing ethical guidelines for development and deployment.
Read about AI ethics and bias - How Bias Creeps into AI Systems
A discussion on the subtle ways bias can enter AI models, from data collection to algorithm design.
Explore how bias enters AI - The Urgency of Responsible AI Adoption
Why organizations and society must prioritize responsible AI practices now, not later.
Responsible AI: Why it matters now - Linking Responsible AI to Natural Resources
Drawing parallels between responsible AI stewardship and the management of natural resources.
Responsible AI and sustainability - Elizabeth's Journey into Responsible AI
Dr. Elizabeth M. Adams shares her personal path and motivations for focusing on responsible AI.
About Dr. Elizabeth M. Adams - The Leadership of Responsible AI Framework
An overview of frameworks and leadership principles guiding responsible AI implementation.
Responsible AI leadership frameworks - Community Engagement and Launching EMA Advisory
The importance of community involvement in AI and the founding of EMA Advisory Services.
EMA Advisory Services
