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Four Privacy Risks in Using ChatGPT for Businesses

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Today, many people rely on neural network-based language models like ChatGPT for their jobs. A Kaspersky survey in Russia revealed that 11% of respondents have utilised chatbots, with nearly 30% believing in their potential to replace jobs in the future.

Other surveys indicate that 50% of Belgian office workers and 65% in the UK rely on ChatGPT. Moreover, the prominence of the search term “ChatGPT” in Google Trends suggests a pronounced weekday usage, likely tied to work-related tasks.

However, the growing integration of chatbots in the workplace prompts a crucial question: can they be entrusted with sensitive corporate data? Kaspersky researchers have identified four key risks associated with employing ChatGPT for business purposes.

Data leak or hack on the provider’s side

Although LLM-based chatbots are operated by tech majors, even they are not immune to hacking or accidental leakage. For example, there was an incident in which ChatGPT users were able to see messages from others’ chat histories.

Data leak through chatbots

Theoretically, chats with chatbots might be used to train future models. Considering that LLMs are susceptible to “unintended memorisation,” wherein they remember unique sequences like phone numbers that don’t enhance model quality but pose privacy risks, any data in the training corpus may inadvertently or intentionally be accessed by other users from the model.

Malicious client

This is a big concern in places where official services like ChatGPT are blocked. Users might resort to unofficial alternatives like programs, websites, or messenger bots and download malware disguised as non-existing client or app.

Account hacking

Attackers can get into employee accounts, accessing their data, through phishing attacks or credential stuffing. Moreover, Kaspersky Digital Footprint Intelligence regularly finds posts on dark web forums selling access to chatbot accounts.

Summarising above, data loss is a major privacy concern for both users and businesses when using chatbots. Responsible developers outline how data is used for model training in their privacy policies.

Kaspersky’s analysis of popular chatbots, including ChatGPT, ChatGPT API, Anthropic Claude, Bing Chat, Bing Chat Enterprise, You.com, Google Bard, and Genius App by Alloy Studios, shows that in the B2B sector, there are higher security and privacy standards, given the greater risks of corporate information exposure.

Consequently, the terms and conditions for data usage, collection, storage, and processing are more focused on safeguarding compared to the B2C sector. The B2B solutions in this study typically don’t automatically save chat histories and in some cases, no data is sent to the company’s servers, as the chatbot operates locally in the customer’s network.

“After examining the potential risks tied to using LLM-based chatbots for work purposes, we’ve found that the risk of sensitive data leakage is highest when employees use personal accounts at work.

This makes raising staff awareness of the risks of using chatbots a top priority for companies. On the one hand, employees need to understand what data is confidential or personal, or constitutes a trade secret, and why it must not be fed to a chatbot. On the other, the company must spell out clear rules for using such services, if they are allowed at all,” comments Anna Larkina, security and privacy expert at Kaspersky.

 


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Schmidt, Ex Google Chief Says AI Risky in Terrorist Hands

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Eric Schmidt, former Google CEO
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Eric Schmidt, former Google CEO has expressed concerns about the extreme risks posed by artificial intelligence (AI) falling into the hands of terrorists or rogue states.

Schmidt, Ex Google Chief Says AI Risky in Terrorist Hands

Eric Schmidt, former Google CEO

He warned that nations such as North Korea, Iran, and Russia could adopt AI technologies to develop weapons capable of causing significant harm, including biological weapons.

Schmidt urged governments to oversee private tech companies, emphasising, “The real fears I have are not the ones most people discuss about AI, I talk about extreme risk.”

“I’m always worried about an ‘Osama Bin Laden’ scenario, where truly evil individuals take control of some aspect of modern life to harm innocent people,” he added.

With private companies driving AI advancements, he stressed the need for careful government monitoring and regulation. “It’s really important that governments understand what we’re doing and keep their eye on us,” he said.

His remarks followed a two-day AI summit in Paris, where the UK and the U.S. declined to sign a communiqué outlining the future direction of AI. The declaration on “inclusive and sustainable artificial intelligence for people and the planet” was endorsed by 57 countries, including India, China, the Vatican, the EU, and the African Union Commission.

The UK justified its decision, stating that the agreement lacked “practical clarity” on global AI governance and national security concerns.

Schmidt supports U.S. export controls restricting the sale of advanced AI microchips to certain countries, aiming to slow adversaries’ progress in AI research.

He also highlights the importance of international collaboration on AI safety, suggesting that cooperation with nations like China is essential to addressing global AI challenges.

 

 


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OpenAI CEO Rejects $97.4Bn Takeover Bid from Elon Musk

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Sam Altman, chief executive of ChatGPT-owner OpenAI
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Sam Altman, chief executive of ChatGPT-owner OpenAI, has firmly declared the company “not for sale” following a $97.4bn (£78.4bn) takeover bid from a consortium led by Elon Musk.

OpenAI CEO Rejects $97.4Bn Takeover Bid from Elon Musk

Elon Musk

Speaking at the AI Action Summit in Paris, Altman emphasised OpenAI’s mission to develop AGI (artificial general intelligence) for the benefit of humanity.

Marc Toberoff, attorney for Elon Musk, confirmed the bid submission on Monday.

In response, Altman humorously offered to buy Twitter for $9.74 billion on Musk’s platform.

Unlike many tech giants, OpenAI is not publicly traded but operates through a complex partnership between non-profit and for-profit entities.

Musk aims to return OpenAI to its non-profit roots, despite owning a rival firm, xAI.

Christie Pitts, a tech investor, expressed scepticism about Musk’s intentions, noting his competitive interests.

Altman echoed this sentiment, suggesting Musk’s move disregards OpenAI’s mission.

Altman, who holds no stock in OpenAI, advocates transforming the organisation into a fully for-profit company to raise more funds for AI research.

Although the board has the final say, the $97.4bn offer falls short of OpenAI’s previous $157bn valuation and rumoured $300bn in future funding talks.

Toberoff stated the consortium might increase their bid. Meanwhile, OpenAI is collaborating with Oracle, a Japanese investment firm, and an Emirati sovereign wealth fund on “The Stargate Project,” a $500 billion AI infrastructure initiative announced by President Donald Trump.

 

 

 

 


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Adobe Launches AI Video Tool to Compete with OpenAI

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Adobe yesterday released the first public version of an artificial intelligence tool that can generate video clips and revealed how much it will charge, but said it will not set pricing for major users such as studios until later this year.

The Firefly Video Model, as Adobe is calling the service, will compete against Sora, a model developed by ChatGPT creator OpenAI, and startup Runway, both of which currently offer video-generation services. Facebook owner Meta Platforms has also developed a video-generation AI model but has not given a timeline for when it will be released.

Adobe’s model differs from its rivals because it is geared toward generating clips that will fit into how film and television studios use Premiere Pro, its flagship video editing software.

To that end, many of the features that Adobe is emphasizing revolve around feeding existing shots into the video model and asking it to generate clips that fix or expand on shots that were taken on a real production set but that did not come out quite right.

Adobe said the service will generate five-second clips at 1080p resolution. While that is shorter than the clips of up to 20 seconds generated by OpenAI’s service, Adobe executives said the majority of individual clips in most productions are only three seconds.

Adobe said a user can generate 20 clips per month for $9.99 and 70 clips for $29.99. That compares with 50 videos for $20 per month with OpenAI’s plan at lower resolution and a $200 OpenAI plan that can handle longer, higher resolution videos.

Adobe is also working on a “Premium” pricing plan for studios and other high-volume video users and will release those pricing details later this year. Alexandru Costin, Adobe’s vice president of generative AI, said the company is working to generate 4K video and will remain focused on quality rather than longer clips.

“We actually think that great motion, great structure, great definition scheme, making the actual clip look like it was film, is more important than making a longer clip that’s unusable,” Costin told Reuters.

 


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