Description
Better understand Artificial Intelligence through ethical, legal, moral, and philosophical challenges and opportunities.Enhance your understanding of AI Policy AI Ethics by joining this insightful webinar developed by EduPolicy.ai. This presentation is specifically designed for corporate leaders and educational administrators seeking to better understand the nuances involved with the development and implementation of Responsible AI in their organizations, which encompasses the use and application of, AI Policy AI Ethics in both educational and corporate settings. This presentation offers participants a broad and systematic understanding of the frameworks needed to foster safer, more inclusive, and forwardthinking educational and corporate environments through Responsible AI. Developed with expertled discussions about practical scenarios and concepts you are likely to encounter, this topic will help you better understand Artificial Intelligence through ethical, legal, moral, and philosophical challenges and opportunities. Additionally, it focuses on the developing compliance and legal requirements soon to be associated with AI, all while fostering marketplace innovation.Participate in this program to stay ahead in the evolving landscape, drive positive change, and empower your institution with a better understanding of what responsible AI integration should look like in your organization.
Date: 2024-07-18 Start Time: End Time:
Learning Objectives
Overview of AI Ethics
• Purpose of the Topic
• Brief Introduction to the Concept of AI Ethics
Fundamental Principles of AI Ethics
• Transparency: Discuss the Necessity for AI Systems to Be Transparent in Their Operations and Decision-Making Processes
• Justice and Fairness: Cover How AI Should Avoid Bias and Ensure Fairness in All Applications
• Non-Maleficence: Emphasize the Do No Harm Principle and Its Implications for AI
Real-World Ethical Issues in AI
• Privacy Concerns: Delve Into How AI Impacts Personal Privacy and Data Protection
• Surveillance: Discuss the Ethical Ramifications of AI in Surveillance and Monitoring
• Autonomy: Explore the Tension Between AI Decision-Making and Human Autonomy
Case Studies: Ethical Dilemmas in AI
Establishing Ethical Guidelines for AI
• Framework Development: Explain the Process of Creating Robust Ethical Guidelines for AI
• Stakeholder Engagement: Highlight the Importance of Involving Diverse Stakeholders in Discussions on AI Ethics
• Global Considerations: Discuss the Need for Global Cooperation to Establish Universal AI Ethics Standards
Future Challenges and Opportunities in AI Ethics
• Emerging Technologies: Address New Technologies That Could Pose Ethical Challenges (e.g., Deepfakes, Autonomous Weapons)
• Regulatory Landscape: Outline Potential Future Regulations and Their Impact on AI Ethics
Conclusion and Qanda
• Summary of Key Points: Recap the Main Ethical Considerations Discussed
• Questions
ASA ,ASAP PACE ,CLE (Please check the Detailed Credit Information page for states that have already been approved) ,HR Certification Institute ,IAAP ,SHRM ,Additional credit may be available upon request. Contact Lorman at 866-352-9540 for further information.
David Hatami, Ed.D-EduPolicy.ai/ScholarBar Education LLC
