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SPECIAL ISSUE ON RESPONSIBLE HUMAN-CENTRED ARTIFICIAL INTELLIGENCE 

Invited editors:
Pierre-Majorique Léger, Ph.D., HEC Montréal
Foutse Khomh, Ph.D., Polytechnique Montréal
Sylvain Sénécal, Ph.D., HEC Montréal

“AI is the new electricity. Just as electricity transformed almost everything 100 years ago, today I have a hard time thinking of an industry that I don’t think AI will transform in the next several years. But I think it’s important to be mindful about how we bring along various stakeholders in this journey.” – Andrew Ng, AI expert

Responsible Human-centered Artificial Intelligence refers to the development and usage of AI technologies which benefit individuals, society, and the environment while minimizing the risk of negative consequences. It encompasses five complementary principles: inclusive growth, sustainable development and well-being; human-centered values and fairness; transparency and explainability; robustness, security and safety; accountability.^[1]

While in 2022, 98% of executives stated that they had responsible AI ambitions, only half had action plans.^[2] And only 19% stated they had a mature, responsible artificial intelligence (RAI) practice and were reaping benefits from their efforts.^[3] There is a lack of consensus on what constitutes RAI. Moreover, organizational factors (such as expertise and talent, training and knowledge and executive prioritization) and the complexity of operationalizing human-centered value principles throughout the AI lifecycle beyond algorithm-level solutions create additional challenges.

The cases in this issue focus on developing and implementing RAI in organizations. They explore the challenges and opportunities associated with the responsible development and implementation of AI while providing insights into actionable strategies organizations can use to design and implement responsible AI systems.

• Blazing New Trails: Responsible Generative AI and the Creative Adoption of a Large Language Model at Deloitte Canada
• Click & Mortar at a Critical Juncture: The Challenges of Using AI in a Digital Marketing Agency
• EmoScienS, ou comment allier l’éthique au développement de l’intelligence artificielle ? (French only)
• L’intelligence artificielle responsable au service de la prévision de la demande : la mise en place d’une solution d’IA chez Tel-jeunes (A et B) (French only)
• Un siège social qui s’adapte aux nouveaux modes de travail (French only)
• Volkswagen Brésil : quand l’intelligence artificielle ressuscite une artiste pour vendre des automobiles (French only)
  
  

Warmest thanks to Pierre-Majorique Léger, Foutse Khomh, and Sylvain Sénécal for their work as co-editors of this special issue!

Happy reading!

[1] OECD, Recommendation of the Council on Artificial Intelligence, OECD/LEGAL/0449
[2] PwC’s 2022 AI Business survey, https://www.pwc.com/us/en/tech-effect/ai-analytics/ai-business-survey.html#intro-section 
[3] MIT Sloan Management Review and Boston Consulting Group, 2022