paulbradshaw + ai   166

Robot fact checkers should spell the end of awful 'fake news' -
In a similar announcement last week, City University in London received a £300,000 grant by Google’s Digital News Initiative (DNI) to develop a data mining and verification app, DMINR, that will enable journalists to make automated scans of terabytes of data collected by public bodies.
ai  factchecking  city  Research  dni 
6 hours ago by paulbradshaw
Colin Porlezza (@herdingbehavior) | Twitter
Senior Lecturer @ City, University of London. Studies datafication, innovation & accountability in journalism. AC Milan ❘ Manga & Anime ❘ Star Trek
ai  people  city 
6 hours ago by paulbradshaw
Andrew MacFarlane (@unixspiders) | Twitter
Reader in Information Retrieval at City University London. Interests :- Information Retrieval, Open Source Software Development.
ai  people  city 
6 hours ago by paulbradshaw
Making AI work for journalists - INJECT
INJECT supports the discovery of story angles beyond journalists’ initial reflexes. It helps identify original stories and potential sources more quickly. Its AI-based search algorithms combine Natural Language Processing, Advanced Information Retrieval and a recommendation system to explore content in novel ways.
ai  journalism  nlg 
10 hours ago by paulbradshaw
10 things about AI every newsroom should know – JSK Class of 2019 – Medium
The data itself should also be transparent. AI is not always able to explain why and how it came up with a certain result. There is a growing concern that AI systems are becoming too secretive, making decisions out of a “black box,” where we have no clue how it got there.
ai  journalism 
5 days ago by paulbradshaw
How Machine Learning Can (And Can't) Help Journalists - Global Investigative Journalism Network
“There are probably relatively few circumstances under which reporters are going to need … to acquire machine learning – it’s really where you’ve got a classification task,” says Peter Aldhous, a reporter on the science desk at BuzzFeed News.
ml  dj  ij  ai  t 
5 days ago by paulbradshaw
StructuredStories (@StructStories) | Twitter
David Caswell of BBC Newslabs
Structured Stories is turning news into knowledge by encoding journalism as structured events and structured narratives.
bbc  people  newslabs  linkeddata  ai 
6 days ago by paulbradshaw
David Caswell (@DavidACaswell) | Twitter
Executive Product Manager at BBC News Labs. I post about computational narrative and structured journalism as @StructStories
people  bbc  linkeddata  ai  newslabs  narrative 
6 days ago by paulbradshaw
about datalab
For this quarter our team objectives are:

Make it easy for BBC teams to rapidly develop and deploy Machine Learning engines
Provide great recommendations across multiple products beyond BBC+
bbc  datalab  ml  ai 
6 days ago by paulbradshaw
Police across the US are training crime-predicting AIs on falsified data - MIT Technology Review
Despite the disturbing findings, the city entered a secret partnership only a year later with data-mining firm Palantir to deploy a predictive policing system. The system used historical data, including arrest records and electronic police reports, to forecast crime and help shape public safety strategies, according to company and city government materials. At no point did those materials suggest any effort to clean or amend the data to address the violations revealed by the DOJ. In all likelihood, the corrupted data was fed directly into the system, reinforcing the department’s discriminatory practices.
algorithms  ai  predictivepolicing  crime 
11 days ago by paulbradshaw
Can You Tell Which Face Is Computer-Generated And Which Is Real?
West and Bergstrom said after people take the quiz a few times they get better at telling the difference between real and fake faces. But that skill could become obsolete in three years or so, when machine learning advances enough to iron out the imperfections. Even now, computer-generated people pose a problem.
deepfakes  ai  verification  quiz 
11 days ago by paulbradshaw
Miguel Martinez | LinkedIn
A researcher and developer in the fields of Text Mining, Information Retrieval, Machine Learning and Natural Language Processing with strong academic and industrial background.
people  ai  ml  nlg 
15 days ago by paulbradshaw
Sylvia Tippmann, PhD | LinkedIn
As data scientist I have to ace three roles in one: Scientist, Engineer and Communicator. In this bridging position it is important to be credible towards both sides, technologists who talk code and stakeholders who may not be technical at all.
ai  people  nlg 
15 days ago by paulbradshaw
RT : Food recognition & calories calculation at the . This company uses to calculate location, type & calories…
AI  MWC19  from twitter
27 days ago by paulbradshaw
How AI will change storytelling and become the next great art form
In the latest chapter, “Whispers In The Night,” viewers can interact with a Lucy who responds and reacts to them as if you’re really in the room with her. This chapter just debuted at Sundance, but Fable says the work will be available in the Oculus Store once all three chapters are completed.

The idea here is that, as a virtual being, Lucy can share her memories with you, discuss them with you, and interact with you in real-time. She’ll even be able to remember what you’ve said to and done with her the next time she sees you.

In one way, you’ll be able to visit her in her own world. She’s a virtual person in a virtual land: you’ll use a headset to see her and your voice and hands to interact with her.
narrative  vr  ai 
6 weeks ago by paulbradshaw
Quartz AI Studio launches an open-source platform to help journalists use machine learning | Media news
“But for the machine learning we think can help support reporters, the applications are far more specific. More like: ‘Computer, here are 100 examples of the pattern I’m looking for. Please find more of those this in this pile of 1 million records.’”

The good news is that machine-learning tools available via the platform can help journalists analyse data even if they have no coding or maths skills.
ml  ai  quartz  os 
10 weeks ago by paulbradshaw
Forbes is building more AI tools for its reporters - Digiday
With Bertie, a contributor who writes regularly about the automobile industry might open up the tool to find the makings of an article about Tesla, complete with links to relevant, related articles published both on Forbes and elsewhere. The tool will surface images that might improve the story as well. Bertie is part of a broader focus on using artificial intelligence to make publishing more efficient for Forbes staff, and to make it as easy as possible for visitors to consume multimedia content on Forbes’ sites, said Forbes Media’s new chief digital officer, Salah Zalatimo. “Anything we can do to make it easier and smarter to publish,” said Zalatimo, who previously served as Forbes’ svp of product and technology. “That’s the loyalty we bring [our contributors].”
ai  augmentation  forbes  t 
11 weeks ago by paulbradshaw
React App
For this experiment, images of faces will flash for 5 seconds.
After each image disappears, answer whether you think the face was real or fake.
hoax  game  images  ai 
december 2018 by paulbradshaw
“How to recognize fake AI-generated images”
one of the quickest ways to identify a GAN-generated image. Typically a GAN will bunch hair in clumps, create random wisps around the shoulders, and throw thick stray hairs on foreheads. Hair styles have a lot of variability, but also a lot of detail, making it one of the most difficult things for a GAN to capture. Things that aren’t hair can sometimes turn into hair-like textures, too
ai  verification  gan  t  photos  images 
december 2018 by paulbradshaw
The Victory Lab: Sasha Issenberg: 9780307954800: Books
The Victory Lab follows the academics and maverick operatives rocking the war room and re-engineering a high-stakes industry previously run on little more than gut instinct and outdated assumptions. Armed with research from behavioural psychology and randomized experiments that treat voters as unwitting guinea pigs, the smartest campaigns now believe they know who you will vote for even before you do. Issenberg tracks these fascinating techniques--which include cutting edge persuasion experiments, innovative ways to mobilize voters, heavily researched electioneering methods--and shows how our most important figures, such as Barack Obama and Mitt Romney, are putting them to use with surprising skill and alacrity.
book  politics  bigdata  ai  obama  campaigning 
december 2018 by paulbradshaw
An algorithmic nose for news - Columbia Journalism Review
The Duke University Tech & Check Cooperative has developed an algorithm called ClaimBuster to monitor CNN transcripts for claims that are fact-checkable — typically statements involving numbers — and send alerts about them to reporters. Every morning a list of “checkworthy” statements made on air is emailed to fact checkers at outlets such as The Washington Post and PolitiFact, and journalists can then determine their potential newsworthiness. “Algorithmic claim spotting is one of a growing number of applications of computational story discovery,” writes Nicholas Diakopoulos. “Whether monitoring political campaign donations, keeping an eye on the courts, surfacing newsworthy events based on social media posts, winnowing down hundreds of thousands of documents for an investigation, or identifying newsworthy patterns in large datasets, computational story discovery tools are helping to speed up and scale up journalists’ ability to surveil the world for interesting news stories.”
algorithms  ai  factchecking  t  alerts 
november 2018 by paulbradshaw
The Quartz AI Studio will help journalists use machine learning — Quartz


Announcing the Quartz AI Studio, designed to help journalists use machine learning

By John KeefeNovember 20, 2018

Today we are launching the Quartz AI Studio to help journalists at Quartz and other news organizations use machine learning to report their stories.
Over the next year, Quartz plans to use machine-learning methods to publish several stories that would otherwise be impossible.
There are several great examples of stories reported using computer algorithms, but those tend to come from large newsrooms with in-house programmers. With each of our stories we hope to help small and midsize newsrooms get smarter about artificial intelligence by publishing how-to guides, best practices, and open-source computer code. These materials will be crafted so that motivated beginners can learn from, replicate, and build on our work.

We want to collaborate with other news organizations for at least half of our published stories. Are you a journalist with a project that could use help from a skilled machine-learning 
ml  ai  t  quartz  collaboration  opensource 
november 2018 by paulbradshaw
How green is your street? - Office for National Statistics
The percentage of greenery in a given street was calculated using Google Streetview images and assigning a category to every pixel.
Categories include vegetation, cars, pedestrians, buildings, and sky.
For more information, read the technical report by the Data Science Campus.
ons  environment  dj  ai  streetview  images 
november 2018 by paulbradshaw
How The Wall Street Journal is preparing its journalists to detect deepfakes » Nieman Journalism Lab
This group, the WSJ Media Forensics Committee, is comprised of video, photo, visuals, research, platform, and news editors who have been trained in deepfake detection. Beyond this core effort, we’re hosting training seminars with reporters, developing newsroom guides, and collaborating with academic institutions such as Cornell Tech to identify ways technology can be used to combat this problem.
ai  verification  wsj  deepfakes  t 
november 2018 by paulbradshaw
Fascinating opening talk on by at - includes example of using audio & vid…
CRSAsportscon  AI  from twitter
october 2018 by paulbradshaw
Guest Blogger: Latoya Peterson - "Why journalists need to understand artificial intelligence" — AI Initiative
2015, Google had a widely publicized misstep when software engineer Jacky Alciné realized the Google Photos image recognition algorithms were tagging black people as “gorillas.” It is a horrific and racist association, but why would this happen in the first place?  Most experts in the AI field knew why. There wasn’t some racist engineer causing mayhem behind the scenes. It was a data set that had been trained on more images of gorillas than African Americans.  
Trickier still is how to solve this problem: the 2018 follow up piece from Wired shows that Google employed a workaround that blocked the image recognition systems from identifying gorillas, but still hadn’t fixed the core problem.
ai  algorithms 
october 2018 by paulbradshaw
Our 2019 challenges: Voice, Video and new Visual Journalism
Voice and Voice AI are the obvious topic for 2019. All the editors who I met in the last six months have become obsessed with smart speakers offered by Amazon, Google and Apple. There are already 47 million smart speakers next to people’s couches in the United States and there are 220 million adults in the country. According to Chartbeat, this number could double in the next six months. It means this mass phenomenon will very soon have a serious impact on how news will be consumed. Who will be the winners of this new battle? Big conglomerates, local news providers, or infotainment companies? What will the speed of adoption be in Europe, Asia, Latin America, and Africa? It seems obvious that countries with strong public or private broadcasters will be at the top of the evolution, but what about new agile players?
voice  visjournalism  ai  s  t 
september 2018 by paulbradshaw
BBC - BBC Four announces experimental AI and archive programming - Media Centre
This includes Made By Machine: When AI Met The Archive, a new and experimental programme part-made by AI to help show how it works, and The Joy Of AI, where Professor Jim Al Khalili tells the story of the pursuit of AI, the emergence of machine learning and recent breakthroughs.
AI was also used to help discover a selection of hidden gems from the BBC’s vast archive that will be shown as part of BBC 4.1 AI TV. Using the latest AI technology from BBC Research & Development, BBC Four scanned programme information dating back to 1953 from well over 250,000 TV programmes. The AI learnt what BBC Four audiences might like, based on the channel’s previous schedules and programme attributes, and then ranked programmes it thought were most relevant.
ai  tvic  BBC  ml  archives  people 
september 2018 by paulbradshaw
Money.Net - Our CEO builds news products in finance using algorithms, supported by data analysis, visualisation, numerical, and text computation. It's one of the first automated newsrooms and so far a pioneering organisation.
people  ai 
september 2018 by paulbradshaw
Amy Webb – The Future Today Institute
A leading expert on artificial intelligence and she has provided her expertise to industry leaders, government officials, and publications around the world.
people  ai 
september 2018 by paulbradshaw
The rise of 'pseudo-AI': how tech firms quietly use humans to do bots' work | Technology | The Guardian
Bloomberg highlighted the plight of the humans spending 12 hours a day pretending to be chatbots for calendar scheduling services such as and Clara. The job was so mind-numbing that human employees said they were looking forward to being replaced by bots.
In 2017, the business expense management app Expensify admitted that it had been using humans to transcribe at least some of the receipts it claimed to process using its “smartscan technology”. Scans of the receipts were being posted to Amazon’s Mechanical Turk crowdsourced labour tool, where low-paid workers were reading and transcribing them.
ai  mechanicalturk 
august 2018 by paulbradshaw
“Covering the World Cup 2018 with AI and automation”
Fox Sports (US) teamed up with IBM Watson to make AI-powered highlight videos, French publication Le Figaro created automated visual summaries, and The Times (UK) launched its very own World Cup Alexa Skill.
ai  worldcup  football  sport  alexa  times  visjournalism  automation  onlinevideo 
july 2018 by paulbradshaw
AP Insights | Report: How artificial intelligence will impact journalism
Learn how artificial intelligence will augment your newsroom and how you can leverage it to your advantage by reading “The future of augmented journalism: A guide for newsrooms in the age of smart machines.”
report  ai  Research 
july 2018 by paulbradshaw
A new hope: AI for news media | TechCrunch
machine learning can be utilized to create new forms of interaction between people, journalists and the newsroom. Automatically moderated commenting is just one example already in use today. Think if it would be possible to build interactions directly on the lock screen that let the journalists better understand the way content is consumed, simultaneously capturing in real time the emotions conveyed by the story.
ai  ml  t  personalisation  comments 
july 2018 by paulbradshaw
“Newsworthy’s automated alchemy, transmuting data into story leads”
Finnäs points to a Swedish public radio reporter using Newsworthy to uncover that the city of Östersund was buying social houses and apartments based on a peak in real estate sales.
automation  Sweden  ai 
july 2018 by paulbradshaw
What happens when China’s state-run media embraces AI? - Columbia Journalism Review
Through information exchange agreements with news outlets in countries as far-ranging as Argentina and Kenya, Xinhua is already spreading its content across continents. And with AI on Xinhua’s horizon, the CCP’s narrative will certainly have greater reach. All newswires that use AI will.  “Once you start [writing wires] in an automated fashion, all of a sudden, you can scale up very, very quickly,” says Gourley. “An AP writer is going to write one article…but what if you could write a hundred? Now, you’re not just a major player in the already-small number of players controlling a pretty big influence in a global conversation, but you’re the best player.”

It looks like Xinhua might soon have a leg-up on the competition. In last week’s announcement, the agency predicted the updated Media Brain could generate over 10,000 news videos during this year’s World Cup.
ai  t  china  xinhua 
june 2018 by paulbradshaw
Artificial Unintelligence | The MIT Press
In Artificial Unintelligence, Meredith Broussard argues that our collective enthusiasm for applying computer technology to every aspect of life has resulted in a tremendous amount of poorly designed systems. We are so eager to do everything digitally—hiring, driving, paying bills, even choosing romantic partners—that we have stopped demanding that our technology actually work. Broussard, a software developer and journalist, reminds us that there are fundamental limits to what we can (and should) do with technology. With this book, she offers a guide to understanding the inner workings and outer limits of technology—and issues a warning that we should never assume that computers always get things right.

Making a case against technochauvinism—the belief that technology is always the solution—Broussard argues that it's just not true that social problems would inevitably retreat before a digitally enabled Utopia. To prove her point, she undertakes a series of adventures in computer programming. She goes for an alarming ride in a driverless car, concluding “the cyborg future is not coming any time soon”; uses artificial intelligence to investigate why students can't pass standardized tests; deploys machine learning to predict which passengers survived the Titanic disaster; and attempts to repair the U.S. campaign finance system by building AI software. If we understand the limits of what we can do with technology, Broussard tells us, we can make better choices about what we should do with it to make the world better for everyone.
ai  book  Research 
june 2018 by paulbradshaw
This year's showed that is now a mainstream news industry technology - here are some of the takeaway…
GENSummit  AI  from twitter
june 2018 by paulbradshaw
Tools, tech, and the newsroom: How the Washington Post does it
The tool also uses AI-assisted moderation to identify problems quickly and to carry out bulk actions. Barber said that they’re still evaluating its wider impact, but they’ve already seen increases in some key metrics, such as the time commenters spend on site. More than half of The Post’s commenters are subscribers, so improvements to comments are a boost for their most loyal users.
ai  comments  washpo 
june 2018 by paulbradshaw
Stuart Myles (@smyles) | Twitter
i'm director of information management at the associated press. <-- xml, metadata, etc.
people  ap  ai  algorithms  automation 
june 2018 by paulbradshaw
AI is the new horizon for news – Global Editors Network – Medium
Katharine Jarmul, founder of data analysis company kjamistan, presented the latest trends of adversarial machine learning and showed how people can modify their own photos or videos in order to avoid facial recognition by Facebook or Google, and consequently forms of mass surveillance. Anonymising data will be a key issue for citizens and data owners, but it is in contradiction with the essence of AI: personalisation. Unfortunately, I’m not sure that the power of the crowd will balance the one of hundred of thousands talented engineers.
surveillance  ai  bots  gensummit  ml  algorithms 
june 2018 by paulbradshaw
Mary Meeker’s 2018 internet trends report: All the slides, plus analysis - Recode
Voice-controlled products like Amazon Echo are taking off. The Echo’s installed base in the U.S. grew from 20 million in the third quarter of 2017 to more than 30 million in the fourth quarter.
trends  stats  voice  mobile  ai  s 
june 2018 by paulbradshaw
More on that AP verification-by- tool here:
AI  GENSummit  from twitter
may 2018 by paulbradshaw
Lisa Gibbs (@lisagibbs954) | Twitter
Director of news partnerships @AP. Ex @APBusiness editor @MONEY writer, @MiamiHerald biz editor. Descendant of Florida pirates. Books, travel, art, biz news.
ap  ai  people 
may 2018 by paulbradshaw
The BBC's Paul Sargeant sees chatbots as an R&D investment ahead of : "It's a transitional format and…
AI  GENSummit  from twitter
may 2018 by paulbradshaw
Are Hit Songs Becoming Less Musically Diverse?
2005, Tristan Jehan, a PhD student at MIT, published his dissertation, “Creating Music By Listening,” a framework for AI-created music. As Jehan put it simply, “You feed it new music in and it generates new music out.”

The more immediate implication of Jehan’s work has not been the human-to-robot gift of art, but reducing a song to a small set of data points that say something about the song generally, such as “valence” (roughly the happy to sad spectrum) and “energy” (arousing to soporific). Shortly after completing his dissertation, Jehan co-founded a company called EchoNest, and the data became a pillar of Spotify’s recommendation systems, determining music similarity and accurately suggesting songs that sound alike.
music  dj  ai  algorithms 
may 2018 by paulbradshaw
Police trial AI software to help process mobile phone evidence | UK news | The Guardian
Until now extracted data has been routinely provided in the form of PDF documents running sometimes into tens of thousands of pages. By contrast, the latest system sold by Cellebrite, called Analytics Enterprise, allows, it is claimed, officers to carry out sophisticated filtering, visualise social networks and feed in data from multiple phones to highlight, via geo-tagging data, when people were in the same place at the same time.

Built-in AI algorithms enable images and videos to be tagged according to whether the content includes weapons, faces, cars, nudity, drugs, flags and other categories. The system can also extract text from screenshots.
ai  police  crime 
may 2018 by paulbradshaw
Delayed Impact of Fair Machine Learning – The Berkeley Artificial Intelligence Research Blog
Lending decisions not only affect the institution, but the individuals as well. A default event (a borrower’s failure to repay a loan) not only diminishes profit for the bank; it also worsens the credit score of the borrower. A successful lending outcome leads to profit for the bank and also to an increase in credit score for the borrower. In our running example, the ratio of the change in credit scores for a borrower is 1 (repaid) to -2 (defaulted).
ml  ai  algorithms  fairness  t 
may 2018 by paulbradshaw
Browsing Histories – SHARE LAB
This story was based on just a tiny excerpt, a two-hour sample, from the internet browsing history of a Swiss journalist J. B. In late June 2015 he visited the Tactical Tech office in Berlin as he was assigned to lay open his private life and see what can be told from the data he creates on his devices.
A year later, we gathered in Berlin for a week of data investigations and one of the data sets that we explored was the browsing history collection of Mr. J. Our goal was to find out how much we could learn from someone’s browsing history or, to rephrase it, what others can learn by exploiting data from our own browsing history.
dj  Privacy  browser  browsinghistory  Networkanalysis  cookies  sentimentanalysis  ai  nlg  surveillance 
may 2018 by paulbradshaw
(12) Jane (Haworth) Whyatt | LinkedIn
Part time at European Centre for Press and Media Freedom and Artificial Intelligence Researcher
ai  people  Research 
may 2018 by paulbradshaw
Chatbot Report 2018: Global Trends and Analysis – Chatbots Magazine
RT : Interesting numbers and insights on this Report 2018 by on the bots and trend
AI  Chatbot  from twitter
may 2018 by paulbradshaw
Unbiased Look at Dataset Bias
The goal of this paper is to take stock of the current state
of recognition datasets. We present a comparison study using
a set of popular datasets, evaluated based on a number
of criteria including: relative data bias, cross-dataset generalization,
effects of closed-world assumption, and sample
value. The experimental results, some rather surprising,
suggest directions that can improve dataset collection as
well as algorithm evaluation protocols. But more broadly,
the hope is to stimulate discussion in the community regarding
this very important, but largely neglected issue.
Research  bias  algorithms  ai  ml  baddata 
april 2018 by paulbradshaw
How To Spot A Deepfake Like The Barack Obama–Jordan Peele Video
“On the positive side, we managed to train several neural networks that are indeed pretty good at figuring out forged images/videos. … Ideally, we're imagining automated methods in a browser or social media platform to tell what's fake and what's real,” he said.
hoax  ai  verification  onlineVideo  video 
april 2018 by paulbradshaw
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