DATA AND AI ARE CHANGING THE WAY ORGANIZATIONS THINK, DECIDE, AND ORGANIZE. IT’S TIME HUMANITIES, MANAGEMENT AND SOCIAL SCIENCES GET INVOLVED.
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EVENTS

IDEAS

THE ETHICS OF ARTIFICIAL INTELLIGENCE

Is Artificial Intelligence a double edge sword ?

[ESSEC Knowledge] by Laurent Bibard- Professor of Management at ESSEC Business School.

Abstract

When pondering the ethical questions posed by artificial intelligence, it’s important to keep two main points in mind:

  1. Developing new technologies and advancing artificial intelligence is not an ethical issue in and of itself. It is not technology that poses the problem, but rather how we use it and how we dream of using it. This clarification is a tale as old as time, and it is crucial to remember it and to combat our naïveté when debating the ethics of artificial intelligence
  2. Today, this question appears in countless different forms and scenarios. This showcases the fascination inspired by “new technologies” and shows that artificial intelligence has progressed immensely. The biggest problem is actually that it is implicitly assumed or explicitly stated that artificial intelligence will not only surpass human intelligence in the future, and even that it has already done so. Among system designers, this results in the assumption that humans are ultimately only a source of error. One of the major consequences of this assumption are that the engineers who design the systems that are supposed to replace humans are de facto, without question, far superior in all senses – including ethically – to the humans who are supposed to manage said systems. This is particularly true when one is supposed to anticipate the ethical decision-making problems in potential emergency situations, such as for self-driving vehicles or in aviation.

Putting aside the grave ethical problems linked to short-term thinking and cost-cutting that Boeing, for example, experienced in the case of its rushed conception of the Boeing 737 Max, there is also an ethical problem specifically linked to its design, implementation and the (dys)functions of the MCAS system meant to ensure aircraft safety in the event of stalling due to a loss of speed.

[To read the full article please follow this link.]

Ideas list
BIAS, TRUST, AND TASTE: HOW AI MODELS GET BETTER?

BIAS, TRUST, AND TASTE: HOW AI MODELS GET BETTER?

[Student IDEAS] by Leria Huang - Master in Management at ESSEC Business School Abstract Behind AI’s leap from glitchy chatbots ...
THE SPACE BETWEEN ZERO AND ONE

THE SPACE BETWEEN ZERO AND ONE

[Student IDEAS] by Michelle Diaz - Master in Management at ESSEC Business School Abstract While AI tools have democratized the ...
I–Thou, I–It, I–AI: Rethinking Relationships in the Age of Companions

I–Thou, I–It, I–AI: Rethinking Relationships in the Age of Companions

[Student IDEAS] by Mingyou Yuan - Master in Management at ESSEC Business School Abstract This article explores AI companionship as a new ...
WHY PROTECTING CREATORS PROTECTS AI

WHY PROTECTING CREATORS PROTECTS AI

[Student IDEAS] by Karen Taubenberger and Michelle Diaz - Master in Management at ESSEC Business School Abstract This article explores ...
Founded in 2020 by ESSEC Business School, The Metalab Institute for Artificial Intelligence, Data and Society helps organizations navigate and better understand the social, economic, cultural, and ethical impacts of AI and data

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