10 Comprehensive Strategies for Ensuring Ethical Artificial Intelligence

Author(s): Veritas AI

Originally published on Towards AI.

This member-only story is on us. Upgrade to access all of Medium.

Now, we are in the middle of a very unusual rise of artificial intelligence, especially in this post-GPT and generative AI era. This emergence is going to get much stronger for the next few years and will see AI being introduced more and more into all areas of businesses, industries and directly into our daily lives.

However, we have to move from the state of wonder and seriously think about the positioning that we give to AI in our lives and the risk(s) that this represents. From a purely technical point of view, an AI can only seem enormously useful. Still, it can hide fine layers of problems linked mainly to its structures, architecture, and model. not to mention the risk of using AI to achieve extremist groups’ bad intentions. In addition to all national or international laws in progress or already implemented, allowing the regularization of the creation and use of AI, it is necessary to be able to put in place systems that can evaluate AI about its compliance with certain ethical principles.

The integration of Artificial Intelligence into various sectors of society raises important ethical concerns that must… Read the full blog for free on Medium.

Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.

Published via Towards AI