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> blocking AI tools is about data security, not money. Why is AI treated very different than say cloud? Most companies don't have problem with putting all data

> blocking AI tools is about data security, not money. Why is AI treated very different than say cloud? Most companies don't have problem with putting all data in Github or AWS or Office 365, but lot of them freaks out if any AI can access the data. I don't think OpenAI/copilot enterprise plan T&C/privacy policy is very different than Github or AWS.

centur 3y ago
I think it has less to do with the fact of putting data somewhere, but with the way data is accessed. When you store something in S3 - you can encrypt it, in addition to built-in encryption. You have control (more or less) over your data in your cloud tenants and databases. Not with AI models trained on your data. You can't even extract\remove it or see how it's used. Literally - zero traceability and transparency. This is the problem, not the fact that it's not stored on your physical hardware. I suspect when any AI model will start using patents databases for training - it will be a watershed moment for what one can do with open data. Old regulations simply would not put up any meaningful fight against volume and quality of model hallucinations, that may become valuable and patentable inventions and improvements according to the same regulations.
esafak 3y ago
People freak out when their data is used to train AI models, leaking their private data. AI data is regularly mined, whereas cloud data is usually encrypted in transit and at rest.
- YetAnotherNick 3y ago
  If companies are willing to break privacy policies for AI training, why not use cloud data for AI training. Sure office all 365 data would be great for building AI. Most encryption is either provider managed where they can easily look into data, or the customer also shares key with them(e.g. EC2 instance getting encrypted S3 data with key in EC2). I have never seen someone using AWS treating amazon as a threat.
aleph_minus_one 3y ago
> Why is AI treated very different than say cloud? Most companies don't have problem with putting all data in Github or AWS or Office 365 The answer is (from my job experience): it is not reallt treated differently. There exist treaties with Microsoft/Azure for Windows, Office 365, Azure DevOps, ... But these are considered as inconvenient necessities that the company would be happy if they were not needed, thus I believe these treaties are watched like a hawk.
simonw 3y ago
I'm beginning to think that it's because most people have an inaccurate model of how "AI training" works. They think that anything you say to an LLM is instantly added to its "knowledge" of the world - it has a perfect memory and hoovers up even the slightest piece of new information that you expose to it. That's not how these things work. But it's hard to convince people of that, especially when the training data used by the models is a closely kept secret!

centur 3y ago

I think it has less to do with the fact of putting data somewhere, but with the way data is accessed. When you store something in S3 - you can encrypt it, in addition to built-in encryption. You have control (more or less) over your data in your cloud tenants and databases. Not with AI models trained on your data. You can't even extract\remove it or see how it's used. Literally - zero traceability and transparency. This is the problem, not the fact that it's not stored on your physical hardware. I suspect when any AI model will start using patents databases for training - it will be a watershed moment for what one can do with open data. Old regulations simply would not put up any meaningful fight against volume and quality of model hallucinations, that may become valuable and patentable inventions and improvements according to the same regulations.

esafak 3y ago

People freak out when their data is used to train AI models, leaking their private data. AI data is regularly mined, whereas cloud data is usually encrypted in transit and at rest.

YetAnotherNick 3y ago
If companies are willing to break privacy policies for AI training, why not use cloud data for AI training. Sure office all 365 data would be great for building AI. Most encryption is either provider managed where they can easily look into data, or the customer also shares key with them(e.g. EC2 instance getting encrypted S3 data with key in EC2). I have never seen someone using AWS treating amazon as a threat.

aleph_minus_one 3y ago

> Why is AI treated very different than say cloud? Most companies don't have problem with putting all data in Github or AWS or Office 365 The answer is (from my job experience): it is not reallt treated differently. There exist treaties with Microsoft/Azure for Windows, Office 365, Azure DevOps, ... But these are considered as inconvenient necessities that the company would be happy if they were not needed, thus I believe these treaties are watched like a hawk.

simonw 3y ago

I'm beginning to think that it's because most people have an inaccurate model of how "AI training" works. They think that anything you say to an LLM is instantly added to its "knowledge" of the world - it has a perfect memory and hoovers up even the slightest piece of new information that you expose to it. That's not how these things work. But it's hard to convince people of that, especially when the training data used by the models is a closely kept secret!