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Learn how to reduce AI risks while ensuring trust and reliability in this 15-minute video where Jeff Crume explains the critical roles of security and AI governance in protecting systems from vulnerabilities and ethical lapses. Discover best practices in governance, compliance, and risk management to safeguard AI systems effectively. Explore the intersection of security protocols and AI governance frameworks, understanding how proper implementation can prevent system vulnerabilities and address ethical concerns. Gain insights into establishing robust governance structures that balance innovation with responsible AI deployment, covering essential compliance requirements and risk assessment methodologies that organizations need to implement for trustworthy AI systems.
Syllabus
Security & AI Governance: Reducing Risks in AI Systems
Taught by
IBM Technology
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Reviews
4.0 rating, based on 3 Class Central reviews
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Ai Governance is a very good addition to my knowledge by it teachs me how Ai operates and how best to protect it from prompt injection and the likes. Ai Governance is so relevant and important in this day and age because with this knowledge I can have a competitive edge over other job applicants as a GRC professional. How to reduce an Ai risk is with a strong Governance and security management. According to IBM, 63% of organisations have no Governance policies in place. In theory, you should have a Governance and security policy in place for the organisation because when the regulatory body come and knocking, asking for the necessary documents or audits, you will not be found wanting.
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I'm learning ai ethics and governance for ensuring responsible use of ai worldwide. This course was really helpful.
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Fantastic. Learnt a lot about the intersection between AI and privacy. And also the latest trend in AI adaption. will recommend.