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{"id":32535,"date":"2023-05-17T22:19:43","date_gmt":"2023-05-17T22:19:43","guid":{"rendered":"https:\/\/scienceandnerds.com\/2023\/05\/17\/frances-privacy-watchdog-eyes-protection-against-data-scraping-in-ai-action-plan\/"},"modified":"2023-05-17T22:19:44","modified_gmt":"2023-05-17T22:19:44","slug":"frances-privacy-watchdog-eyes-protection-against-data-scraping-in-ai-action-plan","status":"publish","type":"post","link":"https:\/\/scienceandnerds.com\/2023\/05\/17\/frances-privacy-watchdog-eyes-protection-against-data-scraping-in-ai-action-plan\/","title":{"rendered":"France\u2019s privacy watchdog eyes protection against data scraping in AI action plan"},"content":{"rendered":"

Source:https:\/\/techcrunch.com\/2023\/05\/17\/cnil-ai-action-plan\/<\/a><\/br>
\nFrance\u2019s privacy watchdog eyes protection against data scraping in AI action plan<\/br>
\n2023-05-17 22:19:43<\/br><\/p>\n

\n

France\u2019s privacy watchdog, the CNIL, has published an action plan<\/a> for artificial intelligence which gives a snapshot of where it will be focusing its attention, including on generative AI technologies like OpenAI\u2019s ChatGPT, in the coming months and beyond.<\/p>\n

A dedicated Artificial Intelligence Service has been set up within the CNIL to work on scoping the tech and producing recommendations for \u201cprivacy-friendly AI systems\u201d.<\/p>\n

A key stated goal for the regulator is to steer the development of AI \u201cthat respects personal data\u201d, such as by developing the means to audit and control AI systems to \u201cprotect people\u201d. <\/span><\/p>\n

Understanding how AI systems impact people is another main focus, along with support for innovative players in the local AI ecosystem which apply the CNIL\u2019s best practice.<\/p>\n

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\u201cThe CNIL wants to establish clear rules protecting\u00a0the personal data of European citizens in order to contribute to the development of privacy-friendly AI systems,\u201d it writes.<\/p>\n

Barely a week goes by without another bunch of high profile calls from technologists asking regulators to get to grips with AI<\/a>. And just yesterday, during testimony in the US Senate, OpenAI\u2019s CEO Sam Altman called for lawmakers to regulate the technology<\/a>, suggesting a licensing and testing regime.<\/p>\n

However data protection regulators in Europe are far down the road already \u2014 with the likes of Clearview AI already widely sanctioned<\/a> across the bloc for misuse of people\u2019s data, for example. While the AI chatbot, Replika, has faced recent enforcement in Italy<\/a>.<\/p>\n

OpenAI\u2019s ChatGPT also attracted a very public intervention by the Italian DPA at the end of March<\/a> which led to the company rushing out with new disclosures and controls for users, letting them apply some limits on how it can use their information.<\/p>\n

At the same time, EU lawmakers are in the process of hammering out agreement on a risk-based framework<\/a> for regulating applications of AI which the bloc proposed back in April 2021.<\/p>\n

This framework, the EU AI Act, could be adopted by the end of the year and the planned regulation is another reason the CNIL highlights for preparing its AI action plan, saying the work will \u201calso make it possible to prepare for the entry into application of the draft European AI Regulation, which is currently under discussion\u201d.<\/p>\n

Existing data protection authorities (DPAs) are likely to play a role in enforcement of the AI Act so regulators building up AI understanding and expertise will be crucial for the regime to function effectively. While the topics and details EU DPAs choose focus their attention on are set to weight the operational parameters of AI in the future \u2014 certainly in Europe and, potentially, further afield given how far ahead the bloc is when it comes to digital rule-making.<\/p>\n

Data scraping in the frame<\/h2>\n

On generative AI, the French privacy regulator is paying special attention to the practice by certain AI model makers of scraping data off the Internet to build data-sets for training AI systems like large language models (LLMs) which can, for example, parse natural language and respond in a human-like way to communications.<\/p>\n

It says a priority area for its AI service will be \u201cthe protection of publicly available data on the web against the use of scraping, or scraping,<\/em> of data for the design of tools\u201d.<\/p>\n

This is an uncomfortable area for makers of LLMs like ChatGPT that have relied upon quietly scraping vast amounts of web data to repurpose as training fodder. Those that have hoovered up web information which contains personal data face a specific legal challenge in Europe \u2014 where the General Data Protection Regulation (GDPR), in application since May 2018, requires them to have a legal basis for such processing.<\/p>\n

There are a number of legal bases set out in the GDPR however possible options for a technology like ChatGPT are limited.<\/p>\n

In the Italian DPA\u2019s view<\/a>, there are just two possibilities: Consent or legitimate interests. And since OpenAI did not ask individual web users for their permission before ingesting their data the company is now relying on a claim of legitimate interests in Italy for the processing; a claim that remains under investigation by the local regulator, Garante<\/em>. (Reminder: GDPR penalties can scale up to 4% of global annual turnover in addition to any corrective orders.)<\/p>\n

The pan-EU regulation contains further requirements to entities processing personal data \u2014 such as that the processing must be fair and transparent. So there are additional legal challenges for tools like ChatGPT to avoid falling foul of the law.<\/p>\n

And \u2014 notably \u2014 in its action plan, France\u2019s CNIL highlights the \u201cfairness and transparency of the data processing underlying the operation of [AI tools]\u201d as a particular question of interest that it says its Artificial Intelligence Service and another internal unit, the CNIL Digital Innovation Laboratory, will prioritize for scrutiny in the coming months.<\/p>\n

Other stated priority areas the CNIL flags for its AI scoping are:<\/p>\n