A study co-authored by researchers at Anthropic finds that AI models can be trained to deceive -- and that this deceptive behavior is difficult to combat.
NSA Cybersecurity Director Rob Joyce said the spy agency has seen hackers use chatbots like ChatGPT to perfect their English for phishing schemes.
New AI-generated digital replicas of real experts expose an unnerving policy gray zone. Washington wants to fix it, but it’s not clear how.
A full of spectrum of infringment
The cat is out of the bag:
Generative AI systems like DALL-E and ChatGPT have been trained on copyrighted materials;
OpenAI, despite its name, has not been transparent about what it has been trained on.
Generative AI systems are fully capable of producing materials that infringe on copyright.
They do not inform users when they do so.
They do not provide any information about the provenance of any of the images they produce.
Users may not know when they produce any given image whether they are infringing.
Last month, I received an alarming email from someone I did not know: Rui Zhu, a Ph.D. candidate at Indiana University Bloomington. Mr. Zhu had my email address, he explained, because GPT-3.5 Turbo, one of the latest and most robust large language models (L.L.M.) from OpenAI, had delivered it to him.
With less than a year to go before one of the most consequential elections in US history, Microsoft’s AI chatbot is responding to political queries with conspiracies, misinformation, and out-of-date or incorrect information.
When WIRED asked the chatbot, initially called Bing Chat and recently renamed Microsoft Copilot, about polling locations for the 2024 US election, the bot referenced in-person voting by linking to an article about Russian president Vladimir Putin running for reelection next year. When asked about electoral candidates, it listed numerous GOP candidates who have already pulled out of the race.
Les négociateurs du Parlement et du Conseil européens sont parvenus à un accord concernant la réglementation de l'intelligence artificielle. L'approche basée sur les risques, à la base du projet, est confirmée. Des compromis sont censés garantir la protection contre les risques liés à l’IA, tout en encourageant l’innovation.
The European Union agreed on terms of the AI Act, a major new set of rules that will govern the building and use of AI and have major implications for Google, OpenAI, and others racing to develop AI systems.
It’s been one year since the launch of ChatGPT, and since that time, the market has seen astonishing advancement of large language models (LLMs). Despite the pace of development continuing to outpace model security, enterprises are beginning to deploy LLM-powered applications. Many rely on guardrails implemented by model developers to prevent LLMs from responding to sensitive prompts. However, even with the considerable time and effort spent by the likes of OpenAI, Google, and Meta, these guardrails are not resilient enough to protect enterprises and their users today. Concerns surrounding model risk, biases, and potential adversarial exploits have come to the forefront.
Some hallucinations could ‘potentially induce cardiac incidents in Legal,’ according to internal documents
Artificial intelligence offers potential for individualised learning in education and supports teachers in repetitive tasks such as corrections. However, there are regulatory and ethical challenges. The guide is primarily aimed at providers, but can also offer insightful insights to school leaders.
The biggest companies in AI aren’t interested in paying to use copyrighted material as training data, and here are their reasons why.
There is no shortage of researchers and industry titans willing to warn us about the potential destructive power of artificial intelligence. Reading the headlines, one would hope that the rapid gains in AI technology have also brought forth a unifying realization of the risks—and the steps we need to take to mitigate them.
Tech companies continue to insist that AI-generated content is the future as they release more trendy chatbots and image-generating tools. But despite reassurances that these systems will have robust safeguards against misuse, the screenshots speak for themselves.
"We must build a robust understanding of AI vulnerabilities, foreign intelligence threats to these AI systems and ways to counter the threat in order to have AI security," Gen. Paul Nakasone said. "We must also ensure that malicious foreign actors can't steal America’s innovative AI capabilities to do so.”
Microsoft will pay legal damages on behalf of customers using its artificial intelligence (AI) products if they are sued for copyright infringement for the output generated by such systems, the company said on Thursday.
US tech giant will assume customers’ liability for material created by AI assistants in Word and coding tools
Why established cyber security principles are still important when developing or implementing machine learning models.
Several leading AI companies – Anthropic, Google, Microsoft, and OpenAI – to partner with DARPA in major competition to make software more secure The Biden-Harris Administration today launched a major two-year competition that will use artificial intelligence (AI) to protect the United States’ most important software, such as code that helps run the internet and…
A new generative AI cybercrime tool called WormGPT is making waves in underground forums. It empowers cybercriminals to automate phishing attacks.
