Category: Trust
Five questions you can use to cut through AI hype | MIT TECHNOLOGY REVIEW
MIT TECHNOLOGY REVIEW offers a checklist by Karen Ho to help assess hype-heavy claims about products ‘powered’ by artificial intelligence. Her five hurdles for any contender: What is the problem it’s trying to solve? How is the company approaching that problem with machine learning?…
Artificial sincerity, too? | jAI
The idea of an AI personality on television was parodied in a 1980’s UK production known as Max Headroom. It featured a computer-generated figure known best for his sarcasm and digital stutter. It seems unlikely the new AI anchors of China will be doing…
New AI fake text generator may be too dangerous to release, say creators | THE GUARDIAN
OpenAI says it’s withholding some of the science behind its text-generating AI model GPT-2. THE GUARDIAN reports the company is concerned that the believability of GPT-2’s text could be used for public deception. Possibilities include fake reviews, fake news, and other forms of false…
This is how AI bias really happens—and why it’s so hard to fix | MIT TECHNOLOGY REVIEW
‘Bias can creep in at many stages of the deep-learning process, and the standard practices in computer science aren’t designed to detect it.’ MIT TECHNOLOGY REVIEW provides a helpful primer on the ways bias enters AI systems, touching on: Framing Collecting Preparing Unknown unknowns…
WaPo Editorial: A reason to despair about the digital future – Deepfakes | Jan 2019
‘The ability to use machine learning to simulate an individual saying or doing almost anything poses personal and political risks that societies around the world are ill-equipped to guard against.’ IN THE WASHINGTON POST the editorial board warns that algorithm-generated videos present possibilities that…
How to recognize fake AI-generated images | MEDIUM
‘Here are some things you can look for when trying to recognize an image produced by a GAN.’ MEDIUM provides several examples of ‘tells’ for fake imagery. Examples include incongruous backgrounds, asymmetrical body parts, or peculiar hair treatments, and others. SEE FULL STORY How…
Trust highest in Sweden and Germany, lowest in Hungary and U.K. | 9 country study
RESEARCHERS AT THE UNIVERSITY OF CAMBRIDGE worked with YouGov during summer 2018 to understand attitudes about trust in media, favoured media sources, and attitudes to government. The 9-country research project shows journalist trust levels in Sweden and Germany each at 44%. The U.K. showed…
Do People Trust Algorithms More Than Companies Realize? | HBR
THE HARVARD BUSINESS REVIEW reports that people favour advice from algorithms over the same advice given by other people. Researchers in the study called this ‘algorithm appreciation.’ They found reactions were not influenced by the age of participants and that people demonstrate greater belief…
Marcus & Ernest: No, artificial intelligence won’t solve fake news | Oct 2018
‘Existing A.I. systems that have been built to comprehend news accounts are extremely limited… lacking a robust mechanism for drawing inferences or a way of connecting to a body of broader knowledge.’ IN THE NEW YORK TIMES Gary Marcus and fellow professor Ernest Davis…
It’s Getting Harder to Spot a Deep Fake Video | BLOOMBERG
Runs 2:59 Report by Bloomberg News.
Joseph Stiglitz: ‘going towards a more divided society’ | Sept 2018
‘Which is the easier way to make a buck: figuring out a better way to exploit somebody, or making a better product? With the new AI, it looks like the answer is finding a better way to exploit somebody.’ IN THE GUARDIAN former chief…
Tom Kent: Fake news is about to get so much more dangerous | Sept 2018
‘Society now has to learn that video no longer guarantees reliability. Instead, it could be the biggest lie of all.’ IN THE WASHINGTON POST Tom Kent sounds an alarm for newsrooms to emphasize care with 3rd-party video, both before it’s published and how it’s…
Oscar Schwartz: ‘The discourse is unhinged: how the media gets AI alarmingly wrong’ | July 2018
‘Social media has allowed self-proclaimed ‘AI influencers’ who do nothing more than paraphrase Elon Musk to cash in on this hype with low-quality pieces. The result is dangerous.’ IN THE GUARDIAN Oscar Schwartz says trivializations of AI in media coverage can be harmful and…
What to Watch for in the Coming Wave of “Deep Fake” Videos | GIJN
…“deep fake” videos can be surprisingly convincing, and the software to make them has emerged rapidly’ As algorithms for image and audio processing become more powerful, so does the ability to use them for deceit. Manipulation techniques applied to video are also used in…
Public Trust in Journalism: An Annotated Bibliography | CMT 2018
THE CENTRE FOR MEDIA TRANSITION offers this annotated bibliography about public trust in journalism. More than 70 pages present a compendium of annotated sources from around the world, including: Studies of public attitudes Peer-reviewed academic papers Journalistic accounts Active links in many sections SEE…
Giving Computers a Nose for News: Exploring the limits of story detection and verification | Thurman et al
Neil Thurman and co-authors suggest that using algorithms for story discovery heralds a ‘new phase’ for social media. They consider the implications of assessing social posts using algorithms, and take a detailed look at one particular tool, SocialSensor. Their study examines accountability and bias…
Algorithmic Accountability | Diakopoulos
Nick Diakopoulos examines the power of algorithms. He considers both how they function and their influence in society, and suggests approaches to accountability. In this paper he applies his analysis to five cases in journalism. His latest book (2019) is Automating the News: How Algorithms…