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"

  • Google Cloud

    Skills you'll gain: Google Gemini, Generative AI, Large Language Modeling, Prompt Engineering, LLM Application, Responsible AI, Google Cloud Platform, Data Pipelines, Big Data, Natural Language Processing, Machine Learning Algorithms

    Advanced · Course · 1 - 4 Weeks

  • Universidad de los Andes

    Skills you'll gain: Supervised Learning, Unsupervised Learning, Artificial Intelligence, Data Ethics, Dimensionality Reduction, Probability & Statistics, Responsible AI, Machine Learning Methods, Reinforcement Learning, Machine Learning, Applied Machine Learning, Linear Algebra, Classification And Regression Tree (CART), Machine Learning Algorithms, Natural Language Processing, Statistical Machine Learning, Statistical Methods, Predictive Modeling, Bayesian Statistics, Scientific Visualization

    Credit offered

    Mastertrack · 6 - 12 Months

  • Status: Free Trial

    Google Cloud

    Skills you'll gain: Responsible AI, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, MLOps (Machine Learning Operations)

    Intermediate · Course · 1 - 4 Weeks

  • Universidad de los Andes

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

    Earn a degree

    Degree · 1 - 4 Years