'No one is irreplaceable', says BBC chief after scandals BBC director general Tim Davie has said he is not letting anything lie when it comes to rooting out abuses of power within the corporation. If you're not living the values, it is clear you leave the BBC or there are consequences, he told MPs on Tuesday, adding that no one was irreplaceable. Davie is facing questions from the Culture, Media and Sport Committee on a number of scandals. One of the topics discussed was the MasterChef crisis, after both of its presenters - Gregg Wallace and John Torode - were sacked following a report which upheld allegations against them. During the hearing, Davie discussed some of the changes that have been made to how abuses of power are dealt with following a recent review into the BBC's workplace culture.

Barring an asteroid strike, Keir Starmer is going to be the UK prime minister in three days. Given the lead in polling, I'd probably bet on him over an asteroid, too. Labour will come into government with a broken state, a flatlining economy and no money. A thin manifesto and enormous parliamentary majority means the party will almost certainly end up stretching further afield for ideas about how to deal with that trilemma from hell. So let's try and offer some.

The ascension of an insider CEO can be a bit underwhelming. When Satya Nadella took the helm of Microsoft in 2014, some employees and investors were disappointed. The search committee had spent months sifting through more than 100 potential leaders, looking for someone who could revive the spirit of innovation that had once defined the company. Along the way, some Wall Street analysts interpreted the fact that no clear external candidate was emerging to indicate that "Microsoft couldn't attract an appealing CEO after years of dwindling relevance," the Wall Street Journal reported. And then, on a frigid January day, they got a 22-year Microsoft veteran as CEO.

Is it possible to evaluate the moral cognition of complex artificial agents? In this work, we take a look at one aspect of morality: `doing the right thing for the right reasons.' We propose a behavior-based analysis of artificial moral cognition which could also be applied to humans to facilitate like-for-like comparison. Morally-motivated behavior should persist despite mounting cost; by measuring an agent's sensitivity to this cost, we gain deeper insight into underlying motivations. We apply this evaluation to a particular set of deep reinforcement learning agents, trained by memory-based meta-reinforcement learning. Our results indicate that agents trained with a reward function that includes other-regarding preferences perform helping behavior in a way that is less sensitive to increasing cost than agents trained with more self-interested preferences.

This week, over 1,750 academics, engineers and some notable names in the tech space signed an open letter asking for all Artificial Intelligence (AI) labs to "immediately pause for at least 6 months the training of AI systems more powerful than GPT-4". We discuss the issue from a few perspectives. Early this week, tech news platforms were abuzz about an open letter that had been signed by engineers from big tech companies, such as Amazon, Microsoft, Google, Meta, and by well-known tech leaders including Elon Musk and Steve Wozniak, along with more than 1,000 experts, petitioning for a pause in "Giant AI Experiments". In the letter, which was authored by the think tank the Future of Life Institute, concern was expressed that though currently, there is an intense race to develop even more powerful Artificial Intelligence (AI) systems "…that no one – not even their creators – can understand, predict, or reliably control…", the focus on exploring the risks and developing the attendant guidelines, protocols and systems to manage those risks, are considerably under-developed. In response to the perceived situation, the letter's authors are advocating for a pause in AI development for at least six months: Therefore, we call on all AI labs to immediately pause for at least 6 months the training of AI systems more powerful than GPT-4.

Jacob Browning is a postdoc in NYU's Computer Science Department working on the philosophy of AI. Yann LeCun is a Turing Award-winning machine learning researcher, an NYU professor and the chief AI scientist at Meta. With artificial intelligence now powering Microsoft's Bing and Google's Bard search engines, brilliant and clever conversational AI is at our fingertips. But there have been many uncanny moments -- including casually delivered disturbing comments like calling a reporter ugly, declaring love for strangers or rattling off plans for taking over the world. To make sense of these bizarre moments, it's helpful to start by thinking about the phenomenon of saying the wrong thing.

Regardless of how you feel, it's pretty clear that what Joel did was selfish. He could say that it was to ensure Ellie has a future, no matter the cost. But it's undeniable that he had Sarah, his murdered daughter, in mind as he "rescued" Ellie. In episode 6, HBO laid the groundwork with his new confession (not featured in the game) to his brother Tommy: Joel struggles with the possibility of losing another young girl in his life. His biggest fear is being unable to "protect" her.

There is a lot of excitement around AI. Recently there has been an incredible amount of buzz around the demos of models like ChatGPT and Dall-E-2. As impressive as these systems are, I think it becomes increasingly important to keep a level head, and not get carried away in a sea of excitement. The following videos/lectures are more focused on how to think about data science projects, and how to attack a problem. I've found these lectures to be highly impactful in my career and enabled me to build effective and practical solutions that fit the exact needs of the companies I've worked for.

In recent years, many in the business world have seen a rise in the use of artificial intelligence (AI), from chatbots to image recognition and financial fraud detection. Gartner has predicted that AI software will reach $62 billion in 2022 alone, an increase of 21.3% from 2021. And there are huge potentials for AI in the UK, with predictions that it could deliver a 22% boost to the UK economy by 2030. With such an increase in the use of AI, it was only a matter of time before the regulation was tightened (and rightly so) to ensure businesses and consumers remained protected. Recently, the UK Government shared a new rulebook for AI innovation to boost public trust in the technology.

Data Science has entered the world of big companies, where data is. Managers of such companies often ask things that they don't actually need and forget to pretend the only useful things to have. "I want an algorithm per month". Yes, I once heard somebody saying something like that and I'm afraid I'm not alone. How many times did a manager ask you to build algorithms?