Group items tagged

"Claims that artificial intelligence will help solve the climate crisis are misguided, with the technology instead likely cause rising energy use and turbocharge the spread of climate disinformation, a coalition of environmental groups has warned. Advances in AI have been touted by big tech companies and the United Nations as a way to help ameliorate global heating, via tools that help track deforestation, identify pollution leaks and track extreme weather events. AI is already being used to predict droughts in Africa and to measure changes to melting icebergs."

"The independent review on equity in medical devices once again highlights the multiple ways in which medical technology development can lead to solutions whereby the benefits are distributed inequitably across society, or can further exacerbate health inequalities (UK report reveals bias within medical tools and devices, 11 March). While the report is welcome, the challenge facing scientists and engineers is how to innovate medical devices differently to respond to longstanding societal biases and inequalities."

"Major technology companies signed a pact Friday to voluntarily adopt "reasonable precautions" to prevent artificial intelligence tools from being used to disrupt democratic elections around the world. Executives from Adobe, Amazon, Google, IBM, Meta, Microsoft, OpenAI and TikTok gathered at the Munich Security Conference to announce a new framework for how they respond to AI-generated deepfakes that deliberately trick voters. Twelve other companies - including Elon Musk's X - are also signing on to the accord."

"Air Canada came under further criticism for later attempting to distance itself from the error by claiming that the bot was "responsible for its own actions". Amid a broader push by companies to automate services, the case - the first of its kind in Canada - raises questions about the level of oversight companies have over the chat tools."

"Google has put a temporary block on its new artificial intelligence model producing images of people after it portrayed German second world war soldiers and Vikings as people of colour. The tech company said it would stop its Gemini model generating images of people after social media users posted examples of images generated by the tool that depicted some historical figures - including popes and the founding fathers of the US - in a variety of ethnicities and genders."

"Deepfakes have arrived to US elections, with a faked audio call purporting to be Joe Biden reaching voters in New Hampshire earlier this year. Artificial intelligence tools allow people to create spoofed audio easily and cheaply - so easily and cheaply that a journalist can do it! We created some fake audio clips of both Biden and Donald Trump using Parrot AI, an app with audio renditions of public figures that users can input words into. You can make audio of what sounds like Biden, Trump or a host of other high-profile speaking, and it sounds real-ish."

"Facebook and Instagram users will start seeing labels on AI-generated images that appear on their social media feeds, part of a broader tech industry initiative to sort between what's real and not. Meta said Tuesday it's working with industry partners on technical standards that will make it easier to identify images and eventually video and audio generated by artificial intelligence tools."

"The organisation is a pioneer of the "ransomware as a service" model, whereby it outsources the target selection and attacks to a network of semi-independent "affiliates", providing them with the tools and infrastructure and taking a commission on the ransoms in return. As well as ransomware, which typically works by encrypting data on infected machines and demanding a payment for providing the decryption key, LockBit copied stolen data and threatened to publish it if the fee was not paid, promising to delete the copies on receipt of a ransom."

"One of the key features introduced is a "Correction" capability in Azure AI Content Safety. This tool aims to address the problem of AI hallucinations - instances where AI models generate false or misleading information. "When we detect there's a mismatch between the grounding context and the response… we give that information back to the AI system," Bird explained. "With that additional information, it's usually able to do better the second try.""

"Ultimately, he suggests, each user would have their own "large language model" (LLM), the underlying technology of services such as ChatGPT, which would be trained on their own speech and behaviour patterns, to let them generate extremely personalised responses to queries and requests. Such systems could be a natural progression from AI tools that already exist today. Services such as Gmail can summarise and suggest replies to emails based on previous messages, while Microsoft Teams will transcribe and summarise video conferences, automatically generating a to-do list from the contents."

"A core selling point of machine learning is discovery without understanding, which is why errors are particularly common in machine-learning-based science. Three years ago, we compiled evidence revealing that an error called leakage - the machine learning version of teaching to the test - was pervasive, affecting hundreds of papers from 17 disciplines. Since then, we have been trying to understand the problem better and devise solutions.  This post presents an update. In short, we think things will get worse before they get better, although there are glimmers of hope on the horizon."

"In a sharply worded warning, the cancer experts say that 'novel solutions' such as new diagnostic tests have been wrongly hyped as 'magic bullets' for the cancer crisis, but 'none address the fundamental issues of cancer as a systems problem'. A 'common fallacy' of NHS leaders is the assumption that new technologies can reverse inequalities, the authors add. The reality is that tools such as AI can create 'additional barriers for those with poor digital or health literacy'. 'We caution against technocentric approaches without robust evaluation from an equity perspective,' the paper concludes."

"Jobhunters flood recruiters with AI-generated CVs About half of applicants are using tools such as ChatGPT to help write cover letters but, without editing, the language is 'clunky'"

"Writing in the journal Science, Summerfield and colleagues from Google DeepMind report how they built the "Habermas Machine" - an AI system named after the German philosopher Jürgen Habermas. The system works by taking written views of individuals within a group and using them to generate a set of group statements designed to be acceptable to all. Group members can then rate these statements, a process that not only trains the system but allows the statement with the greatest endorsement to be selected."

"With the release of artificial intelligence (AI) video generation products like Sora and Luma, we're on the verge of a flood of AI-generated video content, and policymakers, public figures and software engineers are already warning about a deluge of deepfakes. Now it seems that AI itself might be our best defense against AI fakery after an algorithm has identified telltale markers of AI videos with over 98% accuracy."

Instead, affiliate charter schools seek applicants for positions like a "High School Guide." These $50/hr employees will help design "creative, immersive learning experiences that teach students to leverage cutting-edge AI tools and innovative strategies," among other responsibilities. "Think of yourself as a brand consultant for 50 startups simultaneously, guiding diverse branding needs from business to personal expertise positioning," reads one job listing. Apart from students' brand development, the opening also stipulates candidates must possess "demonstrated expertise in social media management, content creation, and audience engagement."

"The research refers to tech executives discussing how AI models will be able to predict a user's intent and actions. It quotes the chief executive of the largest AI chipmaker, Jensen Huang of Nvidia, who said last year that models will "figure out what is your intention, what is your desire, what are you trying to do, given the context, and present the information to you in the best possible way"."

"I. Neither AI nor other people will take your job: While fears have shifted from AI taking jobs to people using AI replacing others, the reality is that you will most likely replace your non-AI-using self by adopting AI tools."

"The Google owner, Alphabet, has dropped its promise not to use artificial intelligence for purposes such as developing weapons and surveillance tools. The US technology company said on Tuesday, just before it reported lower-than-forecast earnings, that it had updated its ethical guidelines around AI, and they no longer referred to not pursuing technologies that could "cause or are likely to cause overall harm". Google's AI head, Demis Hassabis, said the guidelines were being overhauled in a changing world and that AI should protect "national security"."

"In the short term, generative AI will replace a lot of people because productivity increases while demand stays the same due to inertia. In the long term, the creation of new jobs compensates for the loss of old ones, resulting in a net positive outcome for humans who leave behind jobs no one wants to do. The most important aspect of any technological revolution is the transition from before to after. Timing and location matters: older people have a harder time reinventing themselves into a new trade or craft. Poor people and poor countries have less margin to react to a wave of unemployment. Digital automation is quicker and more aggressive than physical automation because it bypasses logistical constraints-while ChatGPT can be infinitely cloned, a metallic robot cannot. Writing and painting won't die because people care about the human factor first and foremost; there are already a lot of books we can't possibly read in one lifetime so we select them as a function of who's the author. Even if you hate OpenAI and ChatGPT for being responsible for the lack of job postings, I recommend you ally with them for now; learn to use ChatGPT before it's too late to keep your options open. Companies are choosing to reduce costs over increasing output because the sectors where generative AI is useful can't artificially increase demand in parallel to productivity. (Who needs more online content?) Our generation is reasonably angry at generative AI and will bravely fight it. Still, our offspring-and theirs-will be grateful for a transformed world whose painful transformation they didn't have to endure. Certifiable human-made creative output will reduce its quantity but multiply its value in the next years because demand specific for it will grow; automation can mimic 99% of what we do but never reaches 100%. The maxim "AI won't take your job, a person using AI will; yes, you using AI will replace yourself not using it" applies more in the long term than the