Humans bring to work a type of intelligence that AI cannot match
Chiara Succi describes three levels of (irreplaceable) human contribution to the workplace: intelligent hand, intelligent mind and intelligent heart.
How Europe’s AI Act could affect innovation and competitiveness
As the dust settles on the recent European Parliament elections, we caught up with ESCP’s Philip Meissner to assess the impact of the EU AI Act on the broader political and economic landscape.
Behind the Algorithm: Unveiling Trust Issues in AI Decisions
ESCP Master in Management student Julius von Diergardt discusses the gaps in trust towards AI in business and how we might alleviate them.
Unlocking the power of AI in the workplace: A practical guide for today’s leaders
ESCP Master in Management students Shruti Jha and Milap Bhaveshkumar Trivedi provide practical tips for business leaders looking to adopt AI into their workplaces.
Beyond automation: Strategic implications of generative AI in business
Louis-David Benyayer comments on research published since the release of ChatGPT and outlines five implications for corporations.
World Economic Forum: Key insights driving the 2024 business agenda
From political undercurrents to emerging technologies and the imperative for inclusive, action-oriented dialogue, ESCP’s Gorgi Krlev outlines the implications for businesses from this year’s Davos.
Exploring the Future Beyond Large Language Models
Despite their undeniable success, LLMs are not without their problems and limitations. Gabriel Scali looks beyond LLMs to what is next for AI.
Four non-tech conditions for AI to improve performance
Prof. Louis-David Benyayer derives four performance drivers from research about the factors influencing the success of artificial intelligence initiatives.
Even when algorithms outperform humans, humans can still make the difference
Prof. Louis-David Benyayer reflects on the strategic implications of research showing that under certain conditions, humans perform better than machines when it comes to decision-making.
3 steps businesses can take to reduce bias in AI systems
How can we ensure that AI development is fair, when the algorithms at its core are designed with biases? Profs. Lorena Blasco-Arcas and Hsin-Hsuan Meg Lee propose to a human-centred view for the design of specific frameworks and regulatory systems.
Algorithms in HR: for better or for worse?
Catherine Lespérance explains why the use of algorithms to determine whether an employee is efficient enough to stay on the payroll is controversial, and how to overcome the challenges of using algorithms in human resources to better modernise HR departments.
“To successfully integrate AI into strategic decision-making processes, you need a human-centred approach”
Understanding executives’ individual decision-making styles can help companies improve the use of AI in strategic initiatives and overcome flaws in human judgement, according to Christoph Keding and Philip Meissner.
