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Coursera

AI Safety Fundamentals: Protecting Users and Organizations

via Coursera

Overview

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Protect your organization from AI-related legal liability and regulatory penalties with this essential employee awareness training on AI Safety Fundamentals. As conversational AI systems and AI chatbots become embedded in workflows, vulnerable users face serious risks and so do the organizations deploying them. With regulations like California SB 243 establishing new AI safety standards, your team needs baseline knowledge of AI risk management, compliance requirements, and practical safeguards to stay ahead of enforcement. Through scenario-based learning and real-world exercises, this course will enable you to recognize AI safety risks, implement AI guardrails, follow AI compliance protocols, and escalate concerns appropriately. This training is built on a simple truth: protecting users protects your business, reducing legal exposure, preventing penalties, and preserving organizational trust. Covering every role from legal to engineering, this course builds the AI literacy and responsible AI practices needed to operate confidently in today's regulatory environment. Enroll today; equip your team with the AI safety training that keeps your organization compliant and future-ready.

Syllabus

  • Understanding AI Safety and Regulatory Requirements
    • This module establishes a foundational understanding of AI safety. You will learn what AI safety means, why conversational AI systems require guardrails, and examine real-world examples of harm when safeguards fail. The module explores California's SB 243 as a regulatory model, covering prohibited behaviors, transparency requirements, and legal liability. Finally, you will examine specific risks of unsafe AI use, focusing on vulnerable populations, manipulation tactics, and consequences for organizations. 
  • Implementing AI Safety in Practice
    • This module translates AI safety knowledge into practical action. You will learn organizational responsibilities including safety protocols, transparency obligations, and legal consequences of non-compliance. The module provides practical guardrails for employees working with AI systems, covering do's and don'ts for building, testing, and deploying chatbots, escalation paths for harmful interactions, and transparent communication with users. You will practice applying these concepts through realistic scenarios and complete a comprehensive knowledge check.
  • Final Assessment and Summary
    • This final module provides an opportunity to demonstrate your understanding of AI safety concepts through a comprehensive assessment and conclude the course by reflecting on the importance of building and maintaining safe, trustworthy AI systems. It reinforces how responsible AI practices support users, organizations, and regulatory compliance.

Taught by

SkillUp and Kriti Kamra

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