Skip main navigation

Overview of the risks: training AI

A brief overview of the risks that can arise when AI is trained to be released to the general public.
Woman presenting on digital evolution.
TRAINING ARTIFICIAL INTELLIGENCE TECHNOLOGY

Mind map of biases and risks associated with training AI

The figure above summarises some of the biases associated with training AI systems.

This is not an exhaustive list of the risks of training AI, but it does highlight the broad topics that philosophers, politicians and developers are discussing most right now. 

TASK: The potential for biased data to affect the everyday lives of ordinary people is not a new problem. However, it is being exacerbated by AI because of its easy usability, quick responses and often unexplainable answers. Can you think of any potential solutions to solve these issues?

Use the 2019 Harvard Business Review article, “What Do We Do About the Biases in AI?” by James Manyika, Jake Silberg, and Brittany Preston to guide your work.

This article is from the free online

AI Ethics, Inclusion & Society

Created by
FutureLearn - Learning For Life

Reach your personal and professional goals

Unlock access to hundreds of expert online courses and degrees from top universities and educators to gain accredited qualifications and professional CV-building certificates.

Join over 18 million learners to launch, switch or build upon your career, all at your own pace, across a wide range of topic areas.

Start Learning now