generative ai - ETHICAL ISSUES

Generative artificial intelligence (generative AI/genAI) is a form of ML built to produce new data instead of only finding patterns within a dataset. In fact, these models use neural networks to identify the patterns and structures within existing data to generate original outputs. In essence, a generative AI system is trained to create objects that are new by learning from the data it was initially exposed to. GenAI represents the evolution of artificial intelligence, striving to emulate human intelligence in unconventional computing tasks such as image generation, natural language processing (NLP), and translation. Organizations can harness generative AI for applications such as chatbots, media creation, and product development and design.

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learning objectives

We designed this course with the following learning objectives in mind:

  • Understand the Fundamentals of Generative AI

  • Identify Ethical Challenges in Generative AI Applications

  • Evaluate the Impact of Generative AI on Society

  • Develop Strategies for Responsible AI Implementation


  • Self-paced

  • 6 learning units

  • 2-3 learning hours

  • Customizable knowledge checks and final assessment

  • LMS and SCORM ready

topics of the course

  • Ethical Risks

  • Misinformation

  • Discriminatory bias content

  • Privacy Infringement

  • Intellectual property

  • Guidelines for the responsible use of AI

  • Meeting the challenges of the next five years

  • Responsible AI roadmap

  • Responsible AI benefits

this course is available also as a microlearning course

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