Schiller’s Aude Prebay contributes to the White Paper, "Getting companies on board with responsible AI" | Schiller International University Skip to main content Skip to footer

On March 14th, the American Chamber France and the Metalab of Essec Business School presented their White Paper "Getting companies on board with responsible AI". The result of several months of work led by Benoit Bergeret (Executive Director of the Metalab of ESSEC), this paper has mobilized many experts and companies from a wide range of industries.

Conscious that "if they do not integrate AI, French medium-sized companies risk being left behind and losing their competitive advantage" (Benoit Bergeret), AmCham France and ESSEC wanted to identify together the main obstacles to the adoption of AI in companies, and to propose concrete and innovative solutions to accompany the executives of small and medium size companies towards an adapted, efficient and reasoned adoption of AI.

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According to a recent #OECD report, European companies, and in particular French ones, are still very reluctant to use #IA, even though nearly 30% of business activities will be automated and transformed by AI by 2030.

In the wake of the French National Strategy for Artificial Intelligence (SNIA), this White Paper aims to answer the fears and questions that business leaders are asking themselves by presenting, in particular, numerous practical cases and offering them reliable and effective "onboarding" tools.

Shiller International University and its Paris campus director, Aude Prebay, were happy to be able to contribute to this White Paper "Getting companies on board with responsible AI", more specifically on Chapter 6 - Skills matter, and to share insights on how to get companies´ staff onboard with responsible AI from Tech new hires to upskilling and reskilling non-tech staff.

Below are the main takeaways of this chapter of the White Paper:

  • Companies looking to adopt AI systems face a critical shortage of talents.
  • For low AI maturity companies, the skills shortage for AI projects is estimated at 60%.
  • Training high-skilled professionals takes a long time, but formal academic education is not the only way to acquire AI skills.
  • Upskilling and reskilling existing employees can provide companies with immediate leverage to begin the process of AI adoption.
  • Companies should diversify their recruiting funnel, work on staff upskilling and retention, train managers on data literacy, and consider deploying low code/no code tools for simple AI use cases.
  • Commonly demanded AI profiles include Data Analyst, Data Engineer, Data Scientist, Chief Analytics Officer, Data Architect, Chief Data Officer, Data Protection Officer, ML Engineer, Database Administrator, and Data Steward.

 Aude Prebay, Schiller International University´s Paris campus Director, is proud to participate in building responsible AI. You can access the White Paper here:

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