AI Governance and Risk Management
People are worried about the effect AI could have on society. This course examines how businesses can construct trustworthy AI systems, operate them responsibly, and establish a robust governance framework to support ethical usage.
£100 +VAT
AI Governance and Risk Management
£100 +VAT
AI Governance and Risk Management
This course is not currently available. To find out more, please get in touch.
This course will enable you to
- Get to grips with the key components of AI technology and systems
- Address business concerns related to AI implementation
- Consider the wider societal impact of AI systems
- Understand your ethical responsibilities when using AI
- Explore compliance and legal requirements for AI
- Identify opportunities for responsible AI usage
- Develop your own AI risk management strategies
About the course
People are worried about the effect AI could have on society. Are these fears justified? Or are they an over-reaction to a new technology that is not yet properly or widely understood? Well-developed AI systems should be under the control of humans and prevented from doing harm. That’s why it’s important to understand how to manage and control risk in AI systems.
This course explores what it takes to ensure that AI systems are developed and implemented in a way that contributes to organisational success and are trusted by employees, users, and other stakeholders. It examines how businesses can construct trustworthy AI systems, operate them responsibly, and establish a robust governance framework to support ethical usage.
Contents
Exploring AI technology
The technology
Human-like capabilities?
Data types and attributes
AI data lifecycle
Different algorithms
Business worries
Busting some AI myths
Societal concerns
Ethical concerns
A governance framework
The role of leaders
A governance framework
Knowledge, strategy and accountability
Compliance
Resources
Ethical considerations and risk
Culture and communication
Monitoring and improvement
Business uncertainties
An uncertain landscape
Opportunities
Trustworthy AI
Managing risks
Investment failures
Compliance failures
HR issues and people management risks
Operational risks
Reputational damage
Managing AI risks
Risk management overview
Identifying risks: Oversight
Identifying risks: The AI model
Identifying risks: Stakeholders
Assessing AI risk: Model cards
Assessing AI risks: Risk audit
Managing and controlling risk: Strategies
Managing and controlling risk: Project management
Managing and controlling risk: Standards and compliance
Monitoring and reporting risk
How it works
Author
Jeremy Swinfen Green
Has been working in online marketing, communication and business strategy since 1993.
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