Louis-David Benyayer comments on research published since the release of ChatGPT and outlines five implications for corporations.
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.
Prof. Louis-David Benyayer derives four performance drivers from research about the factors influencing the success of artificial intelligencev initiatives.
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.
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.
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.
While AI does not yet match its cinematic representations, methodologies such as machine learning are turning it into a valuable tool for managers and businesses when it comes to decision-making and creating innovative solutions.
ESCP Prof. Andreas Kaplan draws upon his past research on Second Life and virtual worlds to reflect on the potential consequences of Facebook’s Metaverse.
Prof. Hector Gonzalez explains which factors organisations should consider in order to make the most of these technologies’ potential advantages.
Prof. Terence Tse argues that AI could provide more accurate and timelier ESG-related data, which could in turn help improve the various ESG indices and enable investors to make more informed investment decisions in companies that are truly ESG-compliant.