As AI becomes part of daily work,

questions like these often appear:

• If AI makes a mistake, who is responsible?
• Is it the staff member?
• Is it the company?
• Is it the tool or the vendor?

In this episode, we explore accountability,

an important concept in AIMS (AI Management Systems).

Accountability does not mean legal language.

It simply means:

👉 Being clear about who takes responsibility.

• Who is the owner of AI usage?
• Who makes the final decision?
• Who explains the situation if a problem happens?

When these points are clear,

AI can be used more safely and confidently.

This episode follows the previous topic of transparency

and helps you move from

“being able to explain AI use”

to

“being ready to take responsibility for AI use.”

If you want to use AI in a healthy and sustainable way,

this episode is for you.