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"

  • Skills you'll gain: Responsible AI

  • Amazon Web Services

    Skills you'll gain: Responsible AI, Human Centered Design, Artificial Intelligence

  • Skills you'll gain: Responsible AI, Data Ethics, AI Security, Information Privacy, Decision Intelligence, AI literacy, Model Evaluation, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Risk Mitigation, Risk Analysis, Ethical Standards And Conduct, Risk Management, Trustworthiness, Security Strategy, Security Management, Business Risk Management, Governance, Stakeholder Analysis

  • Skills you'll gain: Responsible AI, Generative AI, Data Ethics, AI literacy, Artificial Intelligence, Risking, Critical Thinking, Problem Solving

  • Skills you'll gain: Responsible AI, Apache Kafka, Data Ethics, Data Pipelines, Model Deployment, Apache Spark, Real Time Data, Supply Chain, Logistics, Compliance Management, Information Privacy, Law, Regulation, and Compliance, Regulatory Compliance, Model Evaluation, Compliance Reporting, Regulation and Legal Compliance, Compliance Auditing, General Data Protection Regulation (GDPR), Python Programming, Service Level Agreement

  • Skills you'll gain: Responsible AI, Incident Management, Governance, Incident Response, Data Governance, Compliance Management, Policy Development, Risk Management, Governance Risk Management and Compliance, Data Ethics, AI Security, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Data Quality, Data Analysis, Data-Driven Decision-Making, Digital Analysis, Data Collection, Search Engine Optimization

  • Skills you'll gain: Responsible AI, Data Ethics, Governance, Artificial Intelligence, Accountability, Risk Analysis, Data Governance, Risk Management, Risk Mitigation, Decision Making, Compliance Auditing, Auditing, Python Programming, Pandas (Python Package)

  • Skills you'll gain: Responsible AI, Data Ethics, Data Quality, Data Governance, Compliance Management, Governance Risk Management and Compliance, Governance, Audit Working Papers, Regulatory Compliance, Internal Auditing, Ethical Standards And Conduct, Artificial Intelligence, Decision Making, Model Evaluation, Risk Analysis, Cloud Security, Policy Development, Stakeholder Management, Threat Modeling, Cybersecurity

  • Saïd Business School, University of Oxford

    From the course: AI Governance·Lesson: Good Practices for AI Implementation 

  • The University of Edinburgh

    Skills you'll gain: Responsible AI, Risk Analysis, Artificial Intelligence, Business Ethics, Regulatory Compliance, Governance

  • From the course: MLOps and responsible AI practices·Lesson: Microsoft’s responsible AI framework

  • From the course: Microsoft Azure for AI and Machine Learning·Lesson: Ideating potential issues and solutions