Identify guiding principles for responsible AI in government
Created By
Microsoft via Microsoft Learn
- 0
- 2-3 hours worth of material
- Microsoft Learn
- English
Course Overview
- Module 1: Explore six principles to guide AI development and use - fairness, reliability and safety, privacy and security, inclusiveness, transparency, and accountability
- Describe the importance of engaging with AI in a responsible manner.
- Identify six guiding principles to develop and use AI responsibly.
- Describe different approaches to responsible AI governance from experienced executives.
- Module 2: Learn guiding principles for governments, and how to choose and operationalize a governance system to responsibly and successfully use AI in the public sector.
- Determine the elements of an AI governance system.
- Choose an AI governance model that fits your government’s needs.
- Approach policy discussions to promote broad development and deployment of ethical AI systems.
- Module 3: Discover how to translate your organization’s ethical principles into actionable guidance and tools for engineering teams and how AI can improve lives worldwide
- Explain how Microsoft provides accountability for responsible AI through a governance structure.
- Describe how Microsoft risk management processes are used to identify, assess, and mitigate risks.
- Establish responsible design principles within your own organization.
In this module, you will:
In this module, you will:
In this module, you will:
Course Circullum
- Module 1: Identify guiding principles for responsible AI
- Introduction
- Implications of responsible AI - Leadership view
- Implications of responsible AI - Practical guide
- Identify guiding principles for responsible AI
- Identify guiding principles for responsible AI – TD Bank Group executive Q&A
- Identify guiding principles for responsible AI – State Farm executive Q&A
- Identify guiding principles for responsible AI – State Farm case study
- Knowledge check
- Summary and resources
- Module 2: Identify governing practices for responsible AI in government
- Introduction
- Responsible AI in government - Choosing an organizational model with Altimeter - Part 1
- Responsible AI in government - Choosing a governance model
- Responsible AI in government - Policy considerations
- Responsible AI in government - Choosing an organizational model with Altimeter - Part 2
- Knowledge check
- Summary and resources
- Module 3: Discuss practices for responsible AI at Microsoft
- Introduction
- Microsoft AI governance model - Executive overview
- Understanding the Microsoft governance model - AETHER + Office of Responsible AI
- Responsible AI frameworks in action
- Establishing design principles and guidelines in engineering
- Engineering tools for responsible AI
- Engaging externally - AI for good
- Knowledge check
- Summary and resources
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This Course Include:
- Module 1: Identify guiding principles for responsible AI
- Introduction
- Implications of responsible AI - Leadership view
- Implications of responsible AI - Practical guide
- Identify guiding principles for responsible AI
- Identify guiding principles for responsible AI – TD Bank Group executive Q&A
- Identify guiding principles for responsible AI – State Farm executive Q&A
- Identify guiding principles for responsible AI – State Farm case study
- Knowledge check
- Summary and resources
- Module 2: Identify governing practices for responsible AI in government
- Introduction
- Responsible AI in government - Choosing an organizational model with Altimeter - Part 1
- Responsible AI in government - Choosing a governance model
- Responsible AI in government - Policy considerations
- Responsible AI in government - Choosing an organizational model with Altimeter - Part 2
- Knowledge check
- Summary and resources
- Module 3: Discuss practices for responsible AI at Microsoft
- Introduction
- Microsoft AI governance model - Executive overview
- Understanding the Microsoft governance model - AETHER + Office of Responsible AI
- Responsible AI frameworks in action
- Establishing design principles and guidelines in engineering
- Engineering tools for responsible AI
- Engaging externally - AI for good
- Knowledge check
- Summary and resources
- Provider:Microsoft Learn
- Certificate:Not Avalible
- Language:English
- Duration:2-3 hours worth of material
- Language CC: