The Next Step is Responsible AI. How Do We Get There?

In the last decades, many AI projects focused on model efficiency and performance. Results are documented in scientific articles, and the best-performing models are deployed in organizations. Now it is the time to put another important part into our AI systems; responsibility. The algorithms are here to stay and nowadays accessible for everyone with tools like chatGPT, co-pilot, and prompt engineering. Now comes the more challenging part which includes moral consultations, ensuring careful commissioning, and informing the stakeholders. Together, these practices contribute to a responsible and ethical AI landscape. In this blog post, I will describe what responsibility means in AI projects and how to include it in projects using 6 practical steps. <a href="https://towardsdatascience.com/the-next-step-is-responsible-ai-how-do-we-get-there-ecce929a1c03">Read More</a>