Profit or ethics?

The false data dilemma

Source: International Institute for Management Development - IMD


The article, written by Amit M. Joshi, highlights the importance of ethics in business, particularly when it comes to data analytics, artificial intelligence (AI) and machine learning.

However, when it comes to the exponential adoption of AI and analytics, businesses seem less concerned about the ethical implications. The accessibility and value of consumer data have led to a gold rush mentality, with businesses focusing more on data exploitation than ethical implications.

The author argues that addressing ethical concerns in technology is essential for companies to differentiate and thrive in a post-pandemic world.

Amit M. Joshi concludes by arguing that companies need to act now to embed an ethical approach to data analytics, AI and machine learning.

Amit M. Joshi suggests three steps:

  • Define clear boundaries of what will never be done;

  • Empower decision makers at all levels to set ethical boundaries;

  • Appoint an ethics officer to manage ethical challenges and take responsibility when a problem arises.


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