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Responsible AI Based on Microsoft's 6 Pillars

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Responsible AI Based on Microsoft's 6 Pillars Course Outline

Special Note to New Hampshire Residents
This course has not yet been approved by the New Hampshire Department of Education. Please contact us for an update on when the class will be available in New Hampshire.

Overview
This course is designed to guide business professionals, AI developers, and enthusiasts through the ethical considerations and practices in the field of Artificial Intelligence. AI is rapidly transforming industries and societies, but it comes with significant ethical challenges and questions. This course will provide you with a framework to navigate these challenges, focusing on Microsoft's six pillars of responsible AI: fairness, safety, privacy, inclusiveness, transparency, and accountability. You will learn how to align AI use with ethical guidelines and regulations, ensuring a positive impact on your business and society.

Prerequisites
None - this course is recommended for everyone.

Enroll
Click the button below to sign up for this class and other free Copilot sessions.

Enroll  |  Wednesday, April 10, 2024

Noon (Eastern)

Can't make the date? Enroll anyway and we'll give you access to the recorded session!

Note
Course content is subject to change to keep pace with the latest advancements and updates.

Course Outline

Microsoft's 6 Pillars of Responsible AI

Fairness
Understanding Bias in AI
Minimizing Bias through Diverse Data and Perspectives
Achieving Equitable Outcomes and Representation

Safety
Balancing Technical Correctness with Ethical Considerations
Implementing Ethical Guidelines and Alignment
AI in Cybersecurity: Defense and Threat Identification

Privacy
Safeguarding Data and Personal Information
The Balance between Data Sharing and User Autonomy
Building Trust through Robust Privacy Measures

Inclusiveness
Democratizing AI Access Across Different Demographics
Designing AI for Universal Usability
Addressing Unintentional Biases and Barriers

Transparency
Demystifying AI Decision-Making Processes
The Importance of Understanding AI Algorithms
Building Trust through Openness and Accountability

Accountability
Defining Responsibility in AI Deployment
The Role of Human Oversight in AI Systems
Ethical Responsibility and Continuous Improvement

Additional Topics

AI Across Industries
Synergy and Collaboration in Engineering, Accounting, and Medicine
Human-Centric Approaches in Education and Sports
Skepticism and the Human Touch in Creative Industries

Ethical and Legal Considerations
Copyright and Fair Use in AI Training
Balancing Innovation with Ethical Responsibility
AI as a Tool for Identifying Misuse and Fake News

The Future of AI and Ethics
The Transformative Impact of AI on Society and Work
Preemptive Ethics: Predicting and Preventing Problems
The Role of Ethical Standards in Guiding AI Development

Conclusion
Embracing Ethics as a Key Driver in AI Evolution
Shaping AI to Enhance Human Experience and Societal Well-Being
View outline in Word

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