Artificial Intelligence (AI) is a broad term with no single authoritative definition — and frequently, people mean different things when they use it.
However, AI commonly means:
The term AI is often imprecise. AI is sometimes used interchangeably with machine learning, but the two terms are not identical. Machine learning is one promising set of techniques used to develop AI, but others exist. We disambiguate machine learning and AI more fully [see the link below].
AI is also a moving target. The “AI effect” is a paradox in which problems thought to require AI, once largely solved, are no longer seen as requiring “intelligence.” This dynamic further contributes to ambiguity around the definition of AI.
—CSET Glossary, “Artificial Intelligence“
Painstaking new techniques for archiving social media posts could provide crucial evidence in future prosecutions.
The Race to Archive Social Posts That May Prove Russian War Crimes Read More
With vast amounts of data becoming available to intelligence analysts, new tools will help them sift and interpret it all—but they will introduce new risks, too.
As Russia Plots Its Next Move, an AI Listens to the Chatter Read More
The Artificial Intelligence Database: Explore the technology like never before with [WIRED’s] new database, which collects all of our stories on artificial intelligence and filters them by sector, source data, end user, company, and more.
The Artificial Intelligence Database Read More
Here, we showcase regionally developed projects that explore the use of non-traditional data sources and AI to help measure progress toward the [Sustainable Development Goals].
Non-Traditional Data Sources: Providing Insights into Sustainable Development Read More
Facebook, the Palo Alto, CA-based online social network, has teamed up with radiologists at New York University’s Langone Medical Center in Manhattan to develop an artificial intelligence (AI)-based imaging accelerator for MRI scanners.
Deep Learning Speeds MRI Scans Read More
For years, Big Tech has set the global AI research agenda. Now, groups like Black in AI and Queer in AI are upending the field’s power dynamics to build AI that serves people.
Inside the fight to reclaim AI from Big Tech’s control Read More
These recommendations are meant to increase reliability, safety, and trustworthiness while increasing the benefits of AI technologies.
Responsible AI: Bridging From Ethics to Practice Read More
The company’s AI algorithms gave it an insatiable habit for lies and hate speech. Now the man who built them can’t fix the problem. [Not because he doesn’t want to, but because he is not allowed to as it would get in the way of profits.]
How Facebook got addicted to spreading misinformation Read More
In this work, we briefly survey the first decade of research in social bot detection. Via a longitudinal analysis, we discuss the main trends of research in the fight against bots, the major results that were achieved, and the factors that make this never-ending battle so challenging. Capitalizing on lessons learned from our extensive analysis, we suggest possible innovations that could give us the upper hand against deception and manipulation. Studying a decade of endeavors in social bot detection can also inform strategies for detecting and mitigating the effects of other—more recent—forms of online deception, such as strategic information operations and political trolls.
A Decade of Social Bot Detection Read More
Artificial intelligence is taking the ability of affordable smartphone apps to empower the blind and visually impaired to the next level.
Technologies for the Visually Impaired Read More
Much work in evolutionary and developmental psychology points in the same direction; the mind is not one thing, but many.
To build AIs able to comprehend open text or power general-purpose domestic robots, we need to go further. A good place to start is by looking at the human mind, which still far outstrips machines in comprehension and flexible thinking.
Essentially, the software enables a security professional or system administrator to study and react to, hacker activity with much greater sophistication…
Spoofing the Spoofers Read More
The power of AI being applied to visual effects is relatively new and there are huge potentials for that.
Digital Humans on the Big Screen Read More
“Crowdsourcing Moral Machines” Communications of the ACM, March 2020, Vol. 63 No. 3, Pages 48-55 Contributed Articles By Edmond Awad, Sohan Dsouza, Jean-François Bonnefon, Azim Shariff, Iyad Rahwan We believe that social scientists and computational social scientists have a pivotal …
Crowdsourcing Moral Machines Read More
Giants like Alphabet and Microsoft are investing heavily to develop technology that could radically reshape the business world. When it arrives is anyone’s guess.
Inside Big Tech’s Quest for Human-level A.I. Read More
We picked a hard goal. In our case, it was the replication of reality. And now things look so realistic that I often can’t tell in films, and I have a pretty good eye.”
Attaining The Third Dimension Read More
When Ed Catmull earned his Ph.D. from the University of Utah in 1974, with a thesis on three-dimensional (3D) computer graphics, he applied for jobs in academia. He did not get a single one. His academic interests eventually led him to co-found Pixar Animation Studios, create the breakthrough 1995 animated film Toy Story, and receive the Association for Computing Machinery’s 2019 A.M. Turing Award, along with his colleague Pat Hanrahan.
An Animating Spirit Read More
How edge AI will provide devices with just enough smarts to get the job done without spilling all your secrets to the mothership.
Worried About Privacy at Home? There’s an AI for That Read More
Policing has always relied upon large amounts of information. But the scale and speed of its processing is different.
Increasing Automation in Policing Read More
When your technology changes the world, you bear a responsibility to help address the world you have helped create.
Tools and Weapons: The Promise and the Peril of the Digital Age Read More