#106 What is the ethics of science and technology communication? | Sharing content casually but responsibly in the age of AI

Thoughts on the convenience of AI

Using AI has made daily podcasting tasks, from editing to drafting structures, much easier. However, there is a lingering concern that as an engineer, they cannot shake when simply publishing generated information as is. In an era where sharing is easy, the question is raised: is that ease turning into carelessness?

Engaging with the assumption that errors happen

While the risk of AI generating plausible falsehoods is often discussed, the focus here is not on the errors themselves, but on the absence of verification. Instead of delegating everything to AI, humans must take final responsibility to review and edit as needed. This episode offers a glimpse into the ongoing trial and error of how to approach and master AI as a tool.

The non-negotiable line for experts

As someone working with scientific and technical information where accuracy is paramount, the importance of not taking AI-generated content at face value is emphasized. The use of AI is not discouraged; rather, the focus is on looking at the output objectively and deciding what judgment a human should make. For those interested in this responsible attitude, please listen to the full episode.