The AI is not a major threat to human employment.

A journalist asked me to comment on the release of GPT-4 a few days ago. I generally don't like commenting on what I haven't seen, but here is what I said: #DataDocumentation #AIhype #OpenAI #GPT4

Unsurprisingly, after the pre-mature release of #ChatGPT, and the race to the bottom in terms of safety caused by Microsoft, Google or Facebook, GPT-4 is out.It claims to "solve" a physics @polytechnique entry exam. This will make it harder to calm down the hype in France… pic.twitter.com/dG47v4Rr8N— El Mahdi El Mhamdi | mastodon.social/@elmahdi (@L_badikho) March 14, 2023

The Elon Musk-backed nonprofit company OpenAI declines to release research publicly for fear of misuse

Dr Daniel Glaser delves into the murky world of Artificial Intelligence and asks whether true intelligence can exist without an understanding of morality

Machine learning algorithms don’t yet understand things the way humans do — with sometimes disastrous consequences

On April 9, 2017, United Airlines flight 3411 was preparing to take off from Chicago when flight attendants discovered the plane was overbooked. They tried to get volunteers to give up their seats with promises of travel vouchers and hotel accommodations, but not enough people were willing to get off the flight. So United ended up

The infamous “trolley problem” was put to millions of people in a global study, revealing how much ethics diverge across cultures

Responses from more than two million people to an internet-based survey of attitudes towards moral dilemmas that might be faced by autonomous vehicles shed light on similarities and variations in ethical preferences among different populations.

Responses vary around the world when you ask the public who an out-of-control self-driving car should hit

Now that algorithms are everywhere, helping us to both run and make sense of the world, a strange question has emerged among artificial intelligence researchers: When is it ok to predict the future…

Algorithms were supposed to free us from our unconscious mistakes. But now there’s a new set of problems to solve.

Explainable models help move away from the black box nature. Providing accountability for the outcomes provided by machine learning models.

Algorithms are best at pursuing a single mathematical objective—but humans often want multiple incompatible things.

Researchers at AI Now say algorithms increasingly used by government can be opaque and discriminatory.

Artificial intelligence (AI) is not just a new technology that requires regulation. It is a powerful force that is reshaping daily practices, personal and professional interactions, and environments. For the well-being of humanity it is crucial that this power is used as a force of good. Ethics plays a key role in this process by ensuring that regulations of AI harness its potential while mitigating its risks. AI may be defined in many ways. Get its definition wrong, and any assessment of the ethical challenges of AI becomes science fiction at best or an irresponsible distraction at worst, ...

Amazon.com Inc's machine-learning specialists uncovered a big problem: their new recruiting engine did not like women.

An update on Google's AI principles.

The IEEE Standards Association (IEEE-SA) and the MIT Media Lab are joining forces to launch a global Council on Extended Intelligence (CXI).

Artificial intelligence is powering the fourth industrial revolution and has been called the "new electricity." The global economic impact of AI applications...

It can be easy to simply accept algorithms as indisputable mathematic truths. After all, who wants to spend their spare time deconstructing complex equations? But make no mistake: algorithms are limited tools for understanding the world, frequently as flawed and biased as the humans who create and interpret them. In this brief animation, which was adapted from a 2017 presentation at the Royal Society of Arts (RSA) in London, the US data scientist Cathy O’Neil, author of Weapons of Math Destruction (2016), argues that algorithms can be useful tools when thoughtfully deployed. However, their ...

The O’Reilly Radar Podcast: AI on the hype curve, imagining nurturing technology, and gaps in the AI conversation.

User research and a human centred design approach form the basis of ustwo’s thinking on autonomy and driverless cars.

In the past few years, we’ve been deluged with discussions of how artificial intelligence (AI) will either save or destroy the world…

The algorithms Facebook and other tech companies use to boost engagement – and increase profits – have led to spectacular failures of sensitivity and worse…