Responsible AI

Responsible AI is a critical approach to developing and using artificial intelligence systems ethically and beneficially for society. Coursera's Responsible AI catalogue teaches you the fundamental principles of mitigating unfair biases, ensuring transparency, and maintaining human oversight in AI applications. You'll learn to apply frameworks for assessing AI harms, recognize potential security and privacy risks, and implement best practices for deploying AI responsibly in workplace scenarios. Mastering Responsible AI empowers you to create and use AI systems that are trustworthy, aligned with human values, and capable of driving innovation while safeguarding against unintended negative consequences.

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Results for "Responsible AI"

  • University of Michigan

    Skills you'll gain: Responsible AI, Generative AI, Governance, Data Governance, Data Management, Data Ethics, Compliance Management, Consumer Behaviour, AI literacy, Governance Risk Management and Compliance, AI powered creativity, AI Enablement, Social Impact, Business Risk Management, Law, Regulation, and Compliance, Stakeholder Analysis, Decision Intelligence, Risking, Leadership and Management, Risk Management

  • Duke University

    Skills you'll gain: Responsible AI, Large Language Modeling, Data Ethics, Decision Tree Learning, Regression Analysis, Generative AI, Artificial Intelligence, AI literacy, Decision Intelligence, Applied Machine Learning, Generative Model Architectures, Statistical Modeling, Python Programming, Machine Learning, Model Evaluation, Machine Learning Methods, Image Analysis, Scientific Visualization, Deep Learning, Machine Learning Algorithms

  • Skills you'll gain: Prompt Engineering, Responsible AI, AI literacy, Risking, Generative AI, Artificial Intelligence, AI powered creativity, Verification And Validation, Critical Thinking, Model Evaluation, Trustworthiness, AI Workflows, Creative Thinking, Creativity, Ideation

  • Skills you'll gain: Responsible AI, Risking, Data Ethics, AI literacy, AI powered creativity, Artificial Intelligence, AI Security, Generative AI, Creativity, Ethical Standards And Conduct, Risk Management Framework, Environmental Issue, Analysis, Intellectual Property, Leadership

  • Skills you'll gain: Prompt Engineering, Prompt Patterns, Prompt Engineering Tools, AI literacy, Generative AI, Responsible AI, Health Equity, Risking, Generative Model Architectures, AI Product Strategy, Health Disparities, Model Evaluation, Medical Privacy, Context Engineering, Health Informatics, Artificial Intelligence, Health Care, Health Technology, Decision Making, Algorithms

  • From the course: Generative AI: Impact on Business and Society·Lesson: Global Nature of Generative AI

  • From the course: Generative AI for Healthcare Students and Professionals·Lesson: Professional integrity as a framework for encouraging responsible use of generative AI

  • Vanderbilt University

    Skills you'll gain: Prompt Engineering, ChatGPT, Prompt Patterns, AI powered creativity, Ideation, Verification And Validation, LLM Application, AI literacy, Model Evaluation, Spreadsheet Software, Generative AI, Responsible AI, AI Enablement, Risking, Data Presentation, Data Visualization, Image Analysis, Artificial Intelligence, Data Analysis, AI Workflows

  • University of California, Santa Cruz

    From the course: AI Tools for the Workplace·Lesson: Untitled Lesson

  • From the course: Generative AI for Legal Services Primer·Lesson: Untitled Lesson

  • From the course: Generative AI: Governance, Policy, and Emerging Regulation·Lesson: Applying Responsible AI Principles to Generative AI Decisions

  • From the course: Developing Explainable AI (XAI)·Lesson: Responsible AI, Algorithmic Bias, and Ethical Considerations