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Responsible AI Course 1: Principles of Responsible AI: Identifying, Understanding, and Mitigating Risks

We will unpack the central risks and harms associated with today’s AI systems, and explore how to address them responsibly.

CourseBy All Tech Is Human

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Responsible AI Course 2: History of Responsible AI: From Principles to Professionalization

We will trace how Responsible AI matured from early industry principles and seminal books to today’s global standards and laws. You will meet the people, papers, and policies that have defined the field and see how each moment pushed practice forward.

CourseBy All Tech Is Human

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Responsible AI Course 3: Operationalizing AI Governance: Strategy & Foundations

We'll cover the business case for AI Governance: why good governance grows revenue, lowers cost, manages risk, and protects reputation. We'll also look at common Responsible AI roles and where they sit within organizations, as well as the responsibilities of AI Governance professionals day-to-day.

CourseBy All Tech Is Human

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Responsible AI Course 4: Operationalizing AI Governance: Execution & Scaling

We'll focus on two things: in-house best practices your AI Governance team can deploy right now, and the common pain points that slow programs down, with advice on how to get unstuck.

CourseBy All Tech Is Human

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Responsible AI Course 5: Governing Agentic AI Systems

We will learn about the move from static, prompt-in/prediction-out AI models to a new generation of agents: systems that can plan, call tools and APIs, coordinate multi-step tasks, and act with varying degrees of autonomy.

CourseBy All Tech Is Human

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