Responsible Artificial Intelligence (AI) training course

Artificial intelligence, in particular generative AI, is currently accelerating the already considerable risks and impacts of our ever-increasing digital activity. And yet only a minority of companies today have AI governance policies or processes in place. 

How can your organisation keep AI-related risks under control? Find out in this two-day training course, from French digital sustainability pioneers, GreenIT.fr.

Formation disponible en français.

Training description

Identify, manage and master the risks of artificial intelligence – environmental, social, legal and more – so your company can move towards more sustainable and responsible artificial intelligence (AI) governance.

The course is based on the latest expertise and research in the field, as well as on the 20-plus years’ experience of digital responsibility pioneers the GreenIT.fr collective.

Outline

This two-day training course begins with an introduction on the challenges of responsible digital technology and the impacts of AI. It then works through the main risks – including security, transparency, reliability and more – then looks at accountability, before moving on to laws and guidelines. The course ends with the launch of a concrete action plan to integrate responsible artificial intelligence (AI) practices into your organization.

  1. Understand the risks, impacts and consequences, through examples, references and key figures
  2. Understand accountability, i.e. the limits of responsibility of companies vs. those of their staff
  3. Understand the main laws and guidelines around AI that currently structure responsible AI governance
  4. Deploy best practices: when and how to best use AI; which data, models and tips for less impactful usage; how to create a Responsible AI Charter.

Learning objectives

Trainees will leave this course with key knowledge and reference points as to how to effectively deploy responsible AI within their organisation.

  • Master the basics of responsible artificial intelligence (AI)
  • Know how to evaluate AI risks linked to transparency, bias, social and environmental impacts, security, privacy, intellectual property, reliability and accountability
  • Identify which risks are a company’s responsibility, and which are those of their staff
  • Master laws and guidelines concerning responsible AI
  • Deploy responsible AI governance within their organisation, in order to control and reduce the risks linked to AI usage.

Target audience

This training course is conceived for IT, AI and ESG professionals; for those in charge of digital responsibility within their organisations; and indeed, for any executives dealing with AI-related questions today:

  • Digital/IT executives (ex. CTOs, CIOs)
  • Green IT and digital responsibility managers
  • Heads of innovation/AI
  • ESG/Sustainability executives
  • Legal/compliance executives

Prerequisites

  • A first experience of digital management within a company…
  • …this experience does not have to be technical
  • You don’t need to be an AI expert, nor to have a technical role (developer, data scientist, etc), to follow this course.

Learning tools

This course combines interactive presentations, group discussions, case studies and practical exercises to encourage engagement and active learning. A certification confirms knowledge acquisition throughout the course.

Practical information

  • Training code: IARES
  • Place: online or onsite
  • Timing: 2 days (14 hours)
  • Price: €1900 (excl. tax)
  • Participants: minimum 5, maximum 8
  • Certified training: Yes

Your trainer

James is an expert in digital responsibility. He conceived and presents GreenIT.fr’s “Frugal AI” training course. James speaks regularly about responsible AI at leading conferences (VivaTech, ChangeNOW, Green IO & more). “Champion” of the Green Software Foundation, he is also a member of the non-profit that created AI impact evaluation tool Ecologits (part of CodeCarbon).

Next sessions

Please contact us to arrange a date for you and your team.

Contact us

Keywords : Artificial Intelligence, AI, Responsible AI, training course, English, online