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"The post sparked a debate in the comments about the ethics of fine-tuning an AI on the work of a specific living artist, even as new fine-tuned models are posted daily. The most-upvoted comment asked, "Whether it's legal or not, how do you think this artist feels now that thousands of people can now copy her style of works almost exactly?""

""We are seeing deep fakes being used all the time, and the technology is going to allow still images, but ultimately also video images, to be synthesised [more easily] by bad actors," he says. DALL-E has content policy rules in place that prohibit bullying, harassment, the creation of sexual or political content, or creating images of people without their consent. And while Open AI has limited the number of people who can sign up to DALL-E, its lower-grade replica, DALL-E mini, is open access, meaning people can produce anything they want."

"All of this probably means I should be worried about recent trends in artificial intelligence, which is encroaching on voice-over work in a manner similar to how it threatens the labour of visual artists and writers-both financially and ethically. The creep is only just beginning, with dubbing companies training software to replace human actors and tech companies introducing digital audiobook narration. But AI poses a threat to work opportunities across the board by giving producers the tools to recreate their favourite voices on demand, without the performer's knowledge or consent and without additional compensation. It's clear that AI will transform the arts sector, and the voice-over industry offers an early, unsettling model for what this future may look like."

"Such powerful software is still several years away from being fully developed, if at all, and raises all sorts of ethical questions. But the potential applications-such as masterfully translating foreign languages, identifying objects in photos and directing self-driving cars through busy intersections-are so compelling that technology giants like Facebook and Google Inc. are investing heavily in artificial intelligence"

Can you believe this - major social and ethical issue and if this website can do it - then so can those burglars!

"But the bigger problem with things like public tweets is that no-one knows what information can be derived from them, either now or in the future. I write as a data analyst who's done a fair bit of work with this kind of material. What follows are a few techniques that aren't at all obvious to the average Twitter user. They go far beyond reading the surface text (or metadata) of an individual tweet. And these are just some of the techniques currently used to mine this data, ethically or unethically, legally or illegally."

"The development of autonomous military systems - dubbed "killer robots" by campaigners opposed to them - is deeply contentious. Earlier this year, Google withdrew from the Pentagon's Project Maven, which uses machine learning to analyse video feeds from drones, after ethical objections from the tech giant's staff. The government insists it "does not possess fully autonomous weapons and has no intention of developing them". But, since 2015, the UK has declined to support proposals put forward at the UN to ban them. Now, using government data, Freedom of Information requests and open-source information, a year-long investigation reveals that the MoD and defence contractors are funding dozens of artificial intelligence programmes for use in conflict."

"Anouk van Maris, a robot cognition specialist who is researching ethical human-robot interaction, has found that comfort levels with robots vary greatly depending on location and culture. "It depends on what you expect from it. Some people love it, others want to run away as soon as it starts moving," she says. "The advantage of a robot that looks human-like is that people feel more comfortable with it being close to them, and it is easier to communicate with it. The big disadvantage is that you expect it to be able to do human things and it often can't.""

"Should we embrace these new trust algorithms? Baveja and Shapiro acknowledge the responsibility that comes with trying to take ethical decisions and translate them into code. How much of our personal information do we want trawled through in this way? And how comfortable are we with letting an algorithm judge who is trustworthy?"

"A draft government memo explaining how the NHS contact-tracing app could stem the spread of the coronavirus said ministers might be given the ability to order "de-anonymisation" to identify people from their smartphones, the Guardian can reveal. The health secretary, Matt Hancock, announced on Sunday that the UK planned to introduce an app that would enable people who developed Covid-19 symptoms to "anonymously" alert other users to whom they had been in close proximity. "All data will be handled according to the highest ethical and security standards, and would only be used for NHS care and research," he said."

"School officials see the cameras as a way to improve student confidence and crowdsource the task of catching misbehaving pupils. Parents use the feeds to monitor their children's academic progress and spy on their friendships and romances. But many students see live-streaming as an intrusion, prompting a broader debate in China about privacy, educational ethics and the perils of helicopter parenting."

"The ethics of Facebook's micro-targeted advertising was thrust into the spotlight this week by a report out of Australia. The article, based on a leaked presentation, said that Facebook was able to identify teenagers at their most vulnerable, including when they feel "insecure", "worthless", "defeated" and "stressed"."

"Coding isn't the only job that demands intense focus. But you'd never hear someone say that brain surgery is "fun," or that structural engineering is "easy." When it comes to programming, why do policymakers and technologists pretend otherwise?"

"Computers once performed facial recognition rather imprecisely, by identifying people's facial features and measuring the distances among them - a crude method that did not reliably result in matches. But recently, the technology has improved significantly, because of advances in artificial intelligence. A.I. software can analyze countless photos of people's faces and learn to make impressive predictions about which images are of the same person; the more faces it inspects, the better it gets. Clearview is deploying this approach using billions of photos from the public internet. By testing legal and ethical limits around the collection and use of those images, it has become the front-runner in the field. "

"The first thing that came into my mind when I first heard about Deep Fakes, is what would happen if we could create DeepFakes in realtime and not just for existing videos or photos? Suppose we can go online with someone else's face, would this be funny or would this push the ethical boundaries even further? I decided to see how much effort it would be to try it out."

"Researchers fed these algorithms (which function like autocomplete, but for images) pictures of a man cropped below his neck: 43% of the time the image was autocompleted with the man wearing a suit. When you fed the same algorithm a similarly cropped photo of a woman, it auto-completed her wearing a low-cut top or bikini a massive 53% of the time. For some reason, the researchers gave the algorithm a picture of the Democratic congresswoman Alexandria Ocasio-Cortez and found that it also automatically generated an image of her in a bikini. (After ethical concerns were raised on Twitter, the researchers had the computer-generated image of AOC in a swimsuit removed from the research paper.)"

"Former NSA contractor and whistleblower Edward Snowden says that tech workers need to think long and hard about how their labor is used by companies to amass power, surveil people, and fundamentally change society, and need to think about whether it is ethical to work at tech companies at all."