The Technical and Ethical Impact Of Accelerated Learning with ChatGPT


A conference talk about how Generative AI has impacted our society from a technical and ethical perspective, with Java code examples.

Conferences
Tekna - Norwegian Engineering Association

Intended audience Everyone

Summary
The talk covers the technical and ethical impact of Generative AI, how it works and how a tool such as ChatGPT should be used to unlock the full potensial of the models it offers (with scientific backing). The talk also covers what works and what doesn’t in terms of ChatGPT and Generative AI. The talk will also demonstrate several code examples in Java that shows the result of copying code and developing code with Generative AI. You will learn how AI can refactor and make your code better (by asking the right questions). However, you will also see the kind of problems that can occur when using Generative AI on much more complex tasks such as writing a chess engine.

PS: This talk was held about a year after the first initial wave of ChatGPT and Generative AI. The slides below are from the original talk held for Tekna. In the recent time, I have held an updated version of the talk with updated content and tech.

Language English

Video Tekna - Norwegian Engineering Association

Slides