Thanks to low corporation tax and government incentives, Dublin has hosted the European Headquarters of many large US technology companies--Google, Meta, LinkedIn and Microsoft all have offices in the city's Silicon Docks. "The big US companies operated independently of the startup world for many years," explains Will Prendergast, partner at Frontline Ventures. "But in the last five years, US technology companies have been building product and engineering functions here, and that talent is starting to spill out, driving startup creation." Government support via Enterprise Ireland's Pre-Seed Start Fund, designed to accelerate early stage startups, and hubs such as Dogpatch Labs are supporting this wave of new talent. "Ireland does have a capital issue," says employee benefits startup Kota co-founder Luke Mackey.

The hype cycle for chatbots--software that can generate convincing strings of words from a simple prompt--is in full swing. Few industries are more panicked than lawyers, who have been investing in tools to generate and process legal documents for years. After all, you might joke, what are lawyers but primitive human chatbots, generating convincing strings of words from simple prompts? For America's state and local courts, this joke is about to get a lot less funny, fast. Debt collection agencies are already flooding courts and ambushing ordinary people with thousands of low-quality, small-dollar cases.

DoNotPay has cancelled plans to have its AI-powered "robot lawyer" represent a defendant in a U.S. court after several human lawyer organizations objected to the experiment, according to company founder and CEO Joshua Browder. Browder hoped to make history by becoming the first lawyer to use artificial intelligence (AI) to argue a case in a court of law. As MetaNews previously reported, the plan was to use the company's AI chatbot in a traffic case scheduled for Feb. 22. "After receiving threats from State Bar prosecutors, it seems likely they will put me in jail for 6 months if I follow through with bringing a robot lawyer into a physical courtroom," he tweeted on Jan. 25. "DoNotPay is postponing our court case and sticking to consumer rights." Bad news: after receiving threats from State Bar prosecutors, it seems likely they will put me in jail for 6 months if I follow through with bringing a robot lawyer into a physical courtroom.

Artificial intelligence has moved from the realm of science fiction into our pockets. And while we are nowhere close to engaging with AI as sophisticated as the character Data from Star Trek, the forms of artificial narrow intelligence that we do have inform hundreds of everyday decisions, often as subtle as what products you see when you open a shopping app or the order that content appears on your social media feed. Examples abound of the real and potential benefits of AI, like health tech that remotely analyses patients' vital signs to alert medical staff in the event of an emergency, or initiatives to identify vulnerable people eligible for direct cash transfers. But the promises and the success stories are all we see. And though there is a growing global awareness that AI can also be used in ways that are biased, discriminatory, and unaccountable, we know very little about how AI is used to make decisions about us. The use of AI to profile people based on their personal information – essentially, for businesses or government agencies to subtly analyse us to predict our potential as consumers, citizens, or credit risks – is a central feature of surveillance capitalism, and yet mostly shrouded in secrecy.

The Predict Vision AI platform will enable regular people to engage and participate in the new Artificial Intelligence-based future. Artificial Intelligence and other emerging technologies will take the global markets by storm. It will introduce, adapt, and retrain ordinary people, allowing you to grow and have an opportunity in a new leading-edge marketplace that will require a new, advanced workforce. A platform that will join A.I., Blockchain and Crypto at the same time, allowing ordinary people to enter both worlds and share wealth. We want to create a global AI ecosystem and community-based platform for knowledge sharing and collaborative learning and make AI accessible to everyone- empowering ordinary people to become extraordinary.

Welcome to Pushing Buttons, the Guardian's gaming newsletter. If you'd like to receive it in your inbox every week, just pop your email in below – and check your inbox (and spam) for the confirmation email. It's difficult to sit down and concentrate at the moment, isn't it. Whenever something worrying and momentous is occurring in the news, most things feel frivolous and pointless. I used to experience an amorphous sense of guilt around writing about video games for a living when important and harrowing things were happening in the wider world.

Despite the controversy surrounding Polish-based facial recognition software PimEyes, an extensive test of the search engine shows that it has trouble identifying ordinary people. Of the more than 25 searches performed by DailyMail.com, Journalists and celebrities seemed to be fairly accurate, but only 25 percent of results were entirely accurate for the average person. However, this is why security experts deem PimEyes a'serious security risk' - the site provides information to social media accounts. Some of the matches included URL's to the individual's Instagram, TikTok, Tumblr and Facebook, along with personal blogs.

Despite the controversy surrounding Polish-based facial recognition software PimEyes, an extensive test of the search engine shows that it has trouble identifying ordinary people. Of the more than 25 searches performed by DailyMail.com, Journalists and celebrities seemed to be fairly accurate, but only 26 percent of results were entirely accurate for the average person. However, this is why security experts deem PimEyes a'serious security risk' - the site provides information to social media accounts. Some of the matches included URL's to the individual's Instagram, TikTok, Tumblr and Facebook, along with personal blogs.

The recent emergence of deepfake videos leads to an important societal question: how can we know if a video that we watch is real or fake? In three online studies with 15,016 participants, we present authentic videos and deepfakes and ask participants to identify which is which. We compare the performance of ordinary participants against the leading computer vision deepfake detection model and find them similarly accurate while making different kinds of mistakes. Together, participants with access to the model's prediction are more accurate than either alone, but inaccurate model predictions often decrease participants' accuracy. We embed randomized experiments and find: incidental anger decreases participants' performance and obstructing holistic visual processing of faces also hinders participants' performance while mostly not affecting the model's. These results suggest that considering emotional influences and harnessing specialized, holistic visual processing of ordinary people could be promising defenses against machine-manipulated media.

CAMBRIDGE – We live in a world with an ever-widening chasm between the skills of the "average" worker and the capabilities demanded by frontier technologies. Robots, software, and artificial intelligence have increased corporate profits and raised demand for skilled professionals. But they replace factory, sales, and clerical workers – hollowing out the traditional middle class. This "skills gap" contributes to deepening economic inequality and insecurity and ultimately to political polarization – the signal problems of our time. Germany's Federal Constitutional Court, heedless of the political consequences for Europe and Germany, has issued a ruling that risks sacrificing the euro and possibly even the European Union.