Identify guiding principles for responsible AI in government

Microsoft via Microsoft Learn

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Overview

Module 1: Explore six principles to guide AI development and use - fairness, reliability and safety, privacy and security, inclusiveness, transparency, and accountabilityIn this module, you will: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.In...

Syllabus

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