Tackle the challenges and ethical principles of generative AI by exploring best practice AI governance. Understand governance structures and risk management frameworks and learn how to integrate robust governance into your generative AI workstreams.
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Generative AI Governance
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Build robust governance for generative AI projects
This 4-hour course explores governance for generative AI, equipping you with the knowledge to manage accountability, ethical considerations, risks of bias, and compliance effectively. Learn key principles to support ethical and secure AI applications for business.
Learning objectives
- Understand the principles and challenges of generative AI governance
- Explore ethical frameworks and how to implement them
- Explore governance structures and committees in managing Gen AI risks
- Analyse future trends and their implications for the evolution of AI governance
- Identify legal and regulatory requirements for generative AI
- Develop decision-making skills to balance innovation and compliance in AI
What you'll learn
Gain a practical understanding of governance principles to support secure, compliant, and ethical generative AI projects, ensuring integrity throughout development. The generative AI governance course also covers application of these principles and planning for the evolution of AI governance.
Principals of governance in generative AI
Understand the importance of governance within AI practices. Identify and address governance challenges in generative AI, including ethical considerations and the regulatory landscape. Recognise the role of governance for ensuring accountability and mitigating risks in generative AI projects.
Ethics in generative AI
Explore ethical foundations in generative AI, including principles, moral dilemmas, and responsible development. Learn how to implement ethical guidelines through fairness, bias mitigation, and privacy protection.
Applying governance principles in practice
Establish governance structures and committees for generative AI, defining roles, best practices, and communication strategies. Learn risk management for generative AI projects, including identification, mitigation strategies, and explore real-world case studies. Understand how to integrate AI governance into project lifecycles, considering model selection, data sourcing, and auditing.
Future-proofing your generative AI practices
Explore future trends in generative AI governance, including the potential evolution of the regulatory landscape, ethical innovation, and the scope for career opportunities.
What's included
- 4 hours of instructor-led training in a virtual classroom setting
FAQs
By completing this course in generative AI governance you’ll understand how to integrate effective governance into your generative AI processes and practice, ensuring compliance and ethical use of this innovative technology.
What is governance in generative AI?
Governance in generative AI involves establishing policies to manage project integrity, privacy, and ethical use, ensuring compliant and secure AI applications.
Do I need a governance background?
No prior experience is required. This course covers fundamental governance principles specific to AI projects.
How does this course benefit my career?
You’ll gain skills to implement responsible AI practices, helping you align projects with compliance standards and ethical requirements, which are highly valued in AI-driven industries.
How is this course delivered?
This course is delivered through 4 hours of instructor-led training in a virtual classroom setting. Our virtual courses provide the personal teaching experience of a classroom with the ease and flexibility of a virtual environment. All the benefits, without the travel!
What our customers say
"Instructor was on point. Would be happy to recommend others to enrol for this course."
Narender Kathait, ILX learner
"The lecturer (Karen) was very professional, polite, made her students very relaxed. She makes the course easy to understand. "
John Osazuwa Inneh, ILX learner
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