Ethics and Governance in the Age of Generative AI

Instructor: Cansu Canca

What you'll learn

  •   Critically evaluate the ethical dimensions of emerging technologies and their impact on society
  • Skills you'll gain

  •   Generative AI
  •   MLOps (Machine Learning Operations)
  •   Data Governance
  •   Large Language Modeling
  •   Machine Learning
  •   Ethical Standards And Conduct
  •   Emerging Technologies
  •   Governance
  •   Data Ethics
  •   Artificial Intelligence
  • There are 6 modules in this course

    This course is best suited for individuals who are looking to expand their understanding of generative AI and best practices for the responsible, ethical incorporation of generative AI tools in the flow of work. This course explores the ethical and technical dimensions of developing and deploying AI models with a focused lens on generative AI. It examines the ethical and societal considerations of emerging technologies and unique challenges posed by generative AI. This course details the mechanics of genAI, and technical strategies to reduce bias. It explores the RAI principles, strategy, and governance surrounding generative AI. By the end of this course you will have a developed understanding of the nuances of the ethical and technical intricacies shaping the development and deployment of AI models, with a particular focus on generative AI.

    Generative AI: An Emerging Challenge

    How Does Generative AI Work?

    RAI & Generative AI Bias & Fairness Metrics

    RAI & Generative AI: Workflows

    RAI Strategy & Governance

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