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.
202credentials
3online degrees
676courses

Results for "responsible ai"

  • Skills you'll gain: Responsible AI, Security Strategy, Data Security, Information Systems Security, Threat Modeling, Security Controls, Infrastructure Security, Risk Management Framework, Information Privacy, Artificial Intelligence

  • Universidad de los Andes

    Skills you'll gain: Real-Time Operating Systems, Supervised Learning, Semantic Web, LangChain, Unsupervised Learning, Cloud-Native Computing, Continuous Deployment, Computer Vision, Reinforcement Learning, Natural Language Processing, Deep Learning, Cost Estimation, Biomedical Engineering, MLOps (Machine Learning Operations), Artificial Intelligence, Data Ethics, Game Theory, Linear Algebra, Machine Learning Methods, Responsible AI

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