OpenAI, the company behind ChatGPT, is exploring whether users should be allowed to create artificial intelligence-generated pornography and other explicit content with its products. While the company stressed that its ban on deepfakes would continue to apply to adult material, campaigners suggested the proposal undermined its mission statement to produce "safe and beneficial" AI. OpenAI, which is also the developer of the DALL-E image generator, revealed it was considering letting developers and users "responsibly" create what it termed not-safe-for-work (NSFW) content through its products. OpenAI said this could include "erotica, extreme gore, slurs, and unsolicited profanity". It said: "We're exploring whether we can responsibly provide the ability to generate NSFW content in age-appropriate contexts … We look forward to better understanding user and societal expectations of model behaviour in this area."

Natasha Kearslake, director of HR consultancy Organic P&O Solutions, told DailyMail.com January is deemed the most popular month for job searching, meaning people must make their resumes stand out among the masses. While experience, skills and education are standard, a recruitment expert has revealed six things many job seekers leave out. Natasha Kearslake, director of HR consultancy Organic P&O Solutions, told DailyMail.com Kearslake's six suggestions include adding details from the company's mission statement and forgoing fancy-looking graphics and images - she said her tips would optimize resumes to be read by both humans and AI.

Robots, AI and Automation are going to take over a lot of the jobs. We are constantly hearing this phrase all the time but the more pertinent question is how humans will find meaning in life. Just for a moment think if a lot of our jobs are taken away and even if we are provided universal basic income as it is being proposed (hotly debated of course) we will still have a lot of free time. The only way to be happy in those circumstances will be to find the real meaning of life. Here I have expanded each letter of the word meaning to see how we can handle ourselves.

What does GPT-3's AI-generated op-ed teach us about ourselves? The answers are in the subtext. Well, readers, it finally happened. I've been replaced by a robot. Last week, The Guardian published an essay "written" by GPT-3, OpenAI's new language generator. According to the news outlet, "GPT-3 is a cutting edge language model that uses machine learning to produce human like text. It takes in a prompt, and attempts to complete it."

Moore's Law may not be sufficient when it comes to processing power. Some believe that computers are not getting faster fast enough for the emerging tasks that are expected of them, whether it's crunching vast data sets or looking for probabilistic connections within much smaller ones. In areas such as drug discovery, particle physics, genomics, and materials research, quantum computing is increasingly proposed as a better model for the IT industry, alongside related quantum technologies such as timing, imaging, sensing, communications, and security. Yet all these are hard tech, which demands patient capital: long-term, speculative investment coupled with an appetite for risk and uncertain reward. Canada isn't the first country that springs to mind as a potential leader in this space alongside the likes of the US, China, and the UK, but Toronto-based 2016 startup Xanadu aims to change that.

A growing body of work shows that many problems in fairness, accountability, transparency, and ethics in machine learning systems are rooted in decisions surrounding the data collection and annotation process. In spite of its fundamental nature however, data collection remains an overlooked part of the machine learning (ML) pipeline. In this paper, we argue that a new specialization should be formed within ML that is focused on methodologies for data collection and annotation: efforts that require institutional frameworks and procedures. Specifically for sociocultural data, parallels can be drawn from archives and libraries. Archives are the longest standing communal effort to gather human information and archive scholars have already developed the language and procedures to address and discuss many challenges pertaining to data collection such as consent, power, inclusivity, transparency, and ethics & privacy. We discuss these five key approaches in document collection practices in archives that can inform data collection in sociocultural ML. By showing data collection practices from another field, we encourage ML research to be more cognizant and systematic in data collection and draw from interdisciplinary expertise.

A protester holds up a sign targeting Salesforce CEO Marc Benioff outside the company's headquarters in San Francisco on Monday. A protester holds up a sign targeting Salesforce CEO Marc Benioff outside the company's headquarters in San Francisco on Monday. Tech workers from Salesforce, Microsoft, Amazon and Google have been putting pressure on their CEOs to cut ties and end contracts with U.S. Immigration and Customs Enforcement, known as ICE, and other government agencies. It's a rare occurrence for employees to tell their bosses to turn away business. But there is a growing concern among tech workers that the cutting-edge tools they create can be used in immoral ways.

This article first appeared at TomDispatch.com. Consider us officially in an Orwellian world, though we only half realize it. While we were barely looking, significant parts of an American language long familiar to us quite literally, and in a remarkably coherent way, went down the equivalent of George Orwell's infamous Memory Hole. This hit me in a personal way recently. I was asked to give a talk at an annual national security conference held in downtown Manhattan and aimed largely at an audience of college students.

HR departments say they want to build the next generation of amazing companies around artificial intelligence (AI), but they have been relatively slow in adopting new technology to power people operations. Already this year, AI is reshaping businesses and HR needs to be in the driving seat. The test-and-learn period is over. AI is making its presence felt right across organisations in every industry, fundamentally transforming the way organisations and their workforces operate. Businesses will reap massive productivity gains as they focus on clear operational goals for AI.

Last month, over 3,000 Google employees signed a letter taking a stand against Google's collusion with the United States' drone assassination program, which has killed and maimed tens of thousands of people throughout the Middle East and North Africa. Google employees demanded that the company end its participation in "Project Maven," a system of mass drone surveillance integrated with the US drone warfare program, declaring, "We believe that Google should not be in the business of war." It called for the adoption of a policy stating that "neither Google nor its contractors will ever build warfare technology." Google's collusion with the drone assassination program highlights the growing integration of the major technology companies with the US military, which, having declared a new era of "great-power competition" with Russia and China, sees pressing Silicon Valley into its war plans as the only way to regain its military power on the world stage. Just as ominous is Google's role in mass domestic surveillance and censorship.