Preconditions for success

How can we keep it safe and fair?

AI and Ethics.

You're now aware of the major AI techniques and you know where they're applied. So in this track, we focus on the question: how can we keep it safe and fair?

Me and my data...

How do businesses collect data? Click on the animation for an explanation.

You've probably heard of the GDPR (general data protection regulation).

The basic rules, which you can often find in the small print, are for example that they may not share your data with other parties and they must ask your explicit permission to use your data.

For example, would you think it was okay if...

... you, as a pizza lover, were shown adverts for gyms just a bit too often? Probably not. Unless you have given your explicit permission, it's not a responsible way of dealing with your personal data.

Not everything is covered by law.

There are also ethics to consider. Merel Noorman (Tilburg University / JADS) explains how that is particularly interesting when it comes to social media platforms.

Merel Noorman on automated text analysis.

(Part 2 of the interview)

Conclusion

You've reached the end of this track too. In the past few minutes, you've learned which things you have to take into account if you want to be sure that an AI project runs both safely and fairly. In the next track, we'll take a look at the future of AI. What kind of progress will the various AI techniques make in the coming years? And more importantly, how does that affect your future?

Track 6 completed!

NEXT UP: AI and the future

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