Steve Wilson

The vast majority of content online now is user-generated. The regulatory implications are becoming clear. Automated content lt;span style=quot;color:blackquot;gt;moderation is being driven by the sheer scale. It might bring more agile and objective governance as well. lt;/spangt;

Whichever way you look at it, digital certainty and safety increasingly depend on knowing the story behind the data.

There is more to data protection than privacy. What is it that makes any piece of data worth protecting? And what are we protecting it against?

The real power of digial wallets and verifiable credentials is not what they change, but what they leave the same! This technology tells the story behind any credential -- what it means, what it entitles the holder to do, and how you can rely on it.

Can an actor copyright their face or their voice? To protect against Generative AI, they might have other legal options.

If an AI operator cannot account for personal data generated inside a large language model, then it is possible activist privacy regulators might find the technology to be unsafe.

You can sum up 2023 in two words: Generative AI.

It's not every day that we recognise a large government agency for its digital transformation, vision, innovation, agility and privacy protection.

Is AI going to collide with privacy law? Technology neutral privacy law doesnt care how personal data comes to be held by a computer or a business. Those running network machine learning systems may be deemed to have lt;igt;collectedlt;/igt; inferred personal data and if so, must comply with privacy laws.

Constellation Research hosted

We need to shift the expectation of consumer-grade security and make serious encryption the norm everywhere.