Digital Ethics

Next-generation technologies are poised to cause society-shaking shifts at unprecedented speed and scale. Generative AI, quantum computing, blockchain, and other technologies present novel ethical problems that “business as usual” just can’t handle. To meet these challenges, leaders need to do something different: They must talk about ethics in direct, clear terms, and they must not only define their ethical nightmares but also explain how they’re going to prevent them. To prepare for the ethical challenges ahead, companies need to ensure their senior leaders understand these technologies and are aligned on the ethical risks, perform a gap and feasibility analysis, build a strategy, and implement it. All of this requires an important shift from thinking of our digital ethical nightmares as a technology problem to a leadership problem.

If there’s a 10% chance that human-level artificial intelligence (AI) would lead to existential risk or an “extremely negative outcome”, what would you do? I...

Artificial Intelligence has come a long way, but it might not quite be ready to give us immortality, even digitally. And that's probably a good thing.

Greg Rutkowski is among the artists calling for more protection from artificial intelligence tools.

Regardless of the input, AI image generators will have a tendency to return certain kinds of results. This is where the potential for bias arises.

ChatGPT's Groundbreaking Legislation to Govern AI in Costa Rica Sparks Debate among Experts. Here’s all you need to know!

"Let's wait 20 years, and if an AI wins an Oscar for Best Screenplay, I think we've got to take them seriously," he told Canada's CTV News.

Generative AI is headed towards in Napster moment. Many may not understand this, but that’s OK. It’s moving pretty clearly in that direction. I’ve seen a great…

The startup promises a fairly-distributed, cryptocurrency-based universal basic income. So far all it's done is build a biometric database from the bodies of the poor.

OpenAI is under FTC investigation, as of five days ago. Here are some highlights and reflections about the investigation. ➤ Background   👉The FTC opened…

An advanced version of ChatGPT can analyze images and is already helping the blind. But its ability to put a name to a face is one reason the public doesn’t have access to it.

As potential applications of artificial intelligence (AI) continue to expand, the question remains: will users want the technology and trust it? This blog post explores how to measure the trustworthiness of AI.

Can AI writing detectors be trusted? We dig into the theory behind them.

Fed up with A.I. companies consuming online content without consent, fan fiction writers, actors, social media companies and news organizations are among those rebelling.

The U.S. Federal Trade Commission has opened an investigation into OpenAI on claims it has run afoul of consumer protection laws by putting personal reputations and data at risk, the strongest regulatory threat to the Microsoft-backed startup yet.

Nora Roberts, Viet Thanh Nguyen, Michael Chabon and Margaret Atwood are among those signing an Authors Guild letter asking artificial intelligence companies to get permission or offer compensation.

Although high degrees of reliability have been found for many types of forecasts purportedly due to the existence of accountability, public forecasts of technology are rarely assessed and continue to have a poor reputation. This paper’s analysis of forecasts made by MIT’s Technology Review provides a rare assessment and thus a means to encourage accountability. It first shows that few of the predicted “breakthrough technologies” currently have large markets. Only four have sales greater than $10 billion while eight technologies not predicted by Technology Review have sales greater than $10 billion including three with greater than $100 billion and one other with greater than $50 billion. Second, possible reasons for these poor forecasts are then discussed including an over emphasis on the science-based process of technology change, sometimes called the linear model of innovation. Third, this paper describes a different model of technology change, one that is widely used by private companies and that explains the emergence of those technologies that have greater than $10 billion in sales. Fourth, technology change and forecasts are discussed in terms of cognitive biases and mental models.

Media titan Barry Diller confirmed Sunday he and a group of “leading publishers” plan to take legal action regarding the use of published works in training artificial intelligence (AI) systems.   D…

With the "ShareWithCare" campaign, Deutsche Telekom wants to raise awareness for responsible handling of photos and data.

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"Coning" autonomous vehicles is part of a long tradition of tactical urbanism.

Authors, artists and publishers are suing tech companies that used copyrighted works to train their artificial intelligence programs.

A new Slack feature developed by wearable health tech company Oura foreshadows an unnerving, dystopian future work culture.

The EU AI Act will bring about a new era of AI regulation impacting organisations in Europe and beyond. But what does this mean?

Discover everything you need to know about photo statistics - Number of photos taken daily, number of photos on Google, and much more!

Picture yourself stepping into any city or destination you've always dreamt of visiting. Now you can, all from the comfort of your own home.

Beloved musician Elis Regina died aged 36 in 1982 but a new Volkswagen commercial shows her duetting with her daughter

"We do not use AI tools for HR," CEO Alex Nichiporchik insists

Interview with Joanna Batstone, Professor & Director, Monash Data Futures Institute at Monash University filmed at the AI For Good Global Summit 2023, Geneva, Switzerland #aiforgood

Users of OpenAI's GPT-4 are complaining that the AI model is performing worse lately. Industry insiders said a redesign of GPT-4 could be to blame.