Learn about AI ethics, opportunities, challenges, future innovations, and actionable steps to adopt responsible AI practices.
Many businesses are rapidly deploying AI solutions to gain a competitive edge, yet they often overlook ethical considerations such as data bias, lack of transparency, and accountability. This can lead to reputational damage, legal challenges, and a loss of public trust when AI-driven decisions are perceived as unfair or harmful.
By integrating ethical frameworks into every phase of AI development--from data collection to model deployment--businesses can minimize bias, increase transparency, and establish clear accountability structures. Adopting responsible AI practices not only safeguards an organization's reputation but also fosters innovation, builds stakeholder trust, and positions the company for long-term success in an evolving regulatory environment.
Agenda
Faculty
David Hatami, Ed.D
EduPolicy.ai/ScholarBar Education LLC
Dr. David Hatami, Ed.D.
- Leading expert in AI Ethics, AI Policy Development, and Higher Education Leadership, serving as Managing Director of an AI educational technology consulting firm, EduPolicy.ai
- Respected speaker and presenter at national conferences, educational institutions, and industry events focusing on artificial intelligence ethics and policy implementation in academic and corporate settings
- Expertise is showcased through various published works in professional journals and industry publications.
- Serves on multiple AI ethics committees and provides consulting services to colleges and universities nationwide, focusing on responsible AI implementation and policy development
- Doctor of Education in Higher Education Leadership & Administration, along with two master’s degrees, the first in English Literature and the second in Higher Educational Leadership
- Can be reached at 727-741-7748 or via email at [email protected]
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