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Machine Learning and Ethical Risk Management

By Jody S. Johnson, JD.



"The application of an ethical risk management framework is vital to the accurate assessment of the liability we expose ourselves and agencies to when operating within collaborative efforts."

In the first chapter of Lewis Carroll’s 1865 classic, “Alice’s Adventures in Wonderland,” Alice follows the White Rabbit into his burrow, which transports her to a strange, surreal, and nonsensical world of Wonderland. When it comes to risk management and the finding of liability, the rabbit hole can seem “strange, surreal, and nonsensical.” This can be true whether one is trying to avoid liability or trying to figure out who to sue. In this brief article, I will analyze a real-world case study as it pertains to ethical risk management and introduce an ethical methodology I have coined the 1+1=4 Approach. Although this ethical framework has multi-disciplinary applications, which will be discussed in future publications, this article will focus primarily on its application within the field of machine learning and the race to find a vaccine for COVID-19.

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