All the Things Watson Could Do
November 21, 2016
One of our favorite artificial intelligence topics has made the news again: Watson. Technology Review focuses on Watson’s job descriptions and his emergence in new fields, “IBM’s Watson Is Everywhere-But What Is It?” We all know that Watson won Jeopardy and has been deployed as the ultimate business intelligence solution, but what exactly does Watson do for a company?
The truth about Watson’s Jeopardy appearance is that very little of the technology was used. In reality, Watson is an umbrella name IBM uses for an entire group of their machine learning and artificial intelligence technology. The Watson brand is employed in a variety of ways from medical disease interpretation to creating new recipes via experimentation. The technology can be used for many industries and applied to a variety of scenarios. It all depends on what the business needs resolved. There is another problem:
Beyond the marketing hype, Watson is an interesting and potentially important AI effort. That’s because, for all the excitement over the ways in which companies like Google and Facebook are harnessing AI, no one has yet worked out how AI is going to fit into many workplaces. IBM is trying to make it easier for companies to apply these techniques, and to tap into the expertise required to do so.
IBM is experiencing problems of its own, but beyond those another consideration to take is Watson’s expense. Businesses are usually eager to incorporate new technology, if the benefit is huge. However, they are reluctant for the initial payout, especially if the technology is still experimental and not standard yet. Nobody wants to be a guinea pig, but someone needs to set the pace for everyone else. So who wants to deploy Watson?
Whitney Grace, November 21, 2016
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
Xoogler Interviews Facebooker about Smart Software
November 16, 2016
I read “Facebook’s Yann LeCun On Everything AI”. I cannot resist write ups that purport to cover “everything” in a 400 word write up. The main point of the article in my opinion was:
since 95% of today’s AI training is done under supervised learning, the amount of information a machine has is limited and it is therefore not able to escape set boundaries. He also stated, however, that it’s too early to make predictions and he wouldn’t rule out the possibility that this status quo remains unchanged in 30-50 years from now.
The write up points to a video of the 18 minute lecture.
My reaction was that it was interesting to me that Dr. Thrun, a Stanford professor and a Google VP and Google Fellow, conducted the softball interview.
Stephen E Arnold, November 16, 2016
Iceland Offers the First Human Search Engine
November 8, 2016
Iceland is a northern country that one does not think about much. It is cold, has a high literacy rate, and did we mention it was cold? Despite its frigid temperatures, Iceland is a beautiful country with a rich culture and friendly people. shares just how friendly the Icelanders are with their new endeavor: “Iceland Launches ‘Ask Guðmundur,’ The World’s First Human Search Engine.”
Here is what the country is doing:
The decidedly Icelandic and truly personable service will see special representatives from each of Iceland’s seven regions offer their insider knowledge to the world via Inspired By Iceland’s social media platforms (Twitter, Facebook and YouTube). Each representative shares the name Guðmundur or Guðmunda, currently one of the most popular forenames in the country with over 4,000 men and women claiming it as their own.
Visitors to the site can literally submit their questions and have them answered by an expert. Each of the seven Guðmundurs is an Icelandic regional expert. Iceland’s goal with the human search engine is to answer’s the world’s questions about the country, but to answer them in the most human way possible: with actual humans.
A human search engine is an awesome marketing campaign for Iceland. One of the best ways to encourage tourism is to introduce foreigners to the locale people and customs, the more welcoming, quirky, and interesting is all the better for Iceland. So go ahead, ask Guðmundur.
Whitney Grace, November 8, 2016
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
DataSift and Its Getting the Most from Facebook Series
November 6, 2016
There’s been some chatter about Facebook’s approach to news. For some researchers, Facebook is a high value source of information and intelligence. If you want to get a sense of what one can do with Facebook, you may find the DataSift series “Getting the Most from Facebook” helpful.
At this time there are six blog posts on this topic, you can locate the articles via the links below. Each write up contains a DataSift commercial:
- Types of social networks
- What data analytics can be used on Facebook data
- Facebook topic data
- Topic data use cases and drawbacks
- Why use filters
- Pylon specific tips but these apply to other analytics systems as well.
The write ups illustrate why law enforcement and intelligence professionals find some Facebook information helpful. Markets are probably aware of the utility of Facebook information, but to get optimum results, discipline must be applied to the content Facebookers generate at a remarkable rate.
Stephen E Arnold, November 6, 2016
Dark Web Is a Double Edged Sword
November 3, 2016
Apart from hackers and criminals of all kind, the Dark Web is also used by whistleblowers and oppressed citizens for communicating. The Dark Web thus is one of the most secure modes of communicating online; more than secure apps like WhatsApp.
The Newsweek in an article titled How the Dark Web Works and What It Looks Like says:
Dark web technologies are robustly built without central points of weakness, making it hard for authorities to infiltrate. Another issue for law enforcement is that—like most things—the dark web and its technologies can also be used for both good and evil.
Despite backdoors and exploits, law enforcement agencies find it difficult to track Dark Web participants. Few technology companies like Facebook, Microsoft, and Google through its messenger apps promise to provide end-to-end encryption to its users. However, the same companies now are harvesting data from these apps for commercial purposes. If that is the case, these apps can no longer be trusted. As pointed out by the article:
And yet some of these same communications companies have been harvesting user data for their own internal processes. Famously, Facebook enabled encryption on WhatsApp, protecting the communications from prying eyes, but could still look at data in the app itself.
Thus, for now, it seems Dark Web is the only form of secure communication online. It, however, needs to be seen how long the formless and headless entity called Dark Web remains invincible.
Vishal Ingole, November 3, 2016
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
Facebook Still Having Trouble with Trending Topics
October 28, 2016
Despite taking action to fix its problems with Trending Topics, Facebook is still receiving criticism on the issue. A post at Slashdot tells us, “The Washington Post Tracked Facebook’s Trending Topics for 3 Weeks, Found 5 Fake Stories and 3 Inaccurate Articles.” The Slashdot post by msmash cites a Washington Post article. (There’s a paywall if, like me, you’ve read your five free WP articles for this month.) The Post monitored Facebook’s Trending Topics for three weeks and found that issue far from resolved. Msmash quotes the report:
The Megyn Kelly incident was supposed to be an anomaly. An unfortunate one-off. A bit of (very public, embarrassing) bad luck. But in the six weeks since Facebook revamped its Trending system — and a hoax about the Fox News Channel star subsequently trended — the site has repeatedly promoted ‘news’ stories that are actually works of fiction. As part of a larger audit of Facebook’s Trending topics, the Intersect logged every news story that trended across four accounts during the workdays from Aug. 31 to Sept. 22. During that time, we uncovered five trending stories that were indisputably fake and three that were profoundly inaccurate. On top of that, we found that news releases, blog posts from sites such as Medium and links to online stores such as iTunes regularly trended. Facebook declined to comment about Trending on the record.
It is worth noting that the team may not have caught every fake story, since it only checked in with Trending Topics once every hour. Quite the quandary. We wonder—would a tool like Google’s new fact-checking feature help? And, if so, will Facebook admit its rival is on to something?
Cynthia Murrell, October 28, 2016
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
Posting to the Law Enforcement Database
October 28, 2016
The article titled Police Searches of Social Media Face Privacy Pushback on Underground Network discusses the revelations of an NPR article of the same name. While privacy laws are slow to catch up to the fast-paced changes in social media, law enforcement can use public data to track protesters (including retroactive tracking). The ACLU and social media networks are starting to push back against the notion that this is acceptable. The NPR article refers to the Twitter guidelines,
The guidelines bar search companies from allowing law enforcement agencies to use the data to “investigate, track or surveil Twitter’s users (…) in a manner that would require a subpoena, court order, or other valid legal process or that would otherwise have the potential to be inconsistent with our users’ reasonable expectations of privacy.” But that policy is very much open to interpretation, because police don’t usually need legal orders to search public social media…
Some police departments have acknowledged that fuzziness around privacy laws puts the onus on them to police their own officers. The Dunwoody, Georgia police department requires supervisor approval for social media searches. They explain that this is to prevent targeting “particular groups” of people. According to the article, how this issue unfolds is largely up to police departments and social media giants like Twitter and Facebook to decide. But social media has been around for over a decade. Where are the laws defining and protecting our privacy?
Chelsea Kerwin, October 28, 2016
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
Google Introduces Fact Checking Tool
October 26, 2016
If it works as advertised, a new Google feature will be welcomed by many users—World News Report tells us, “Google Introduced Fact Checking Feature Intended to Help Readers See Whether News Is Actually True—Just in Time for US Elections.” The move is part of a trend for websites, who seem to have recognized that savvy readers don’t just believe everything they read. Writer Peter Woodford reports:
Through an algorithmic process from schema.org known as ClaimReview, live stories will be linked to fact checking articles and websites. This will allow readers to quickly validate or debunk stories they read online. Related fact-checking stories will appear onscreen underneath the main headline. The example Google uses shows a headline over passport checks for pregnant women, with a link to Full Fact’s analysis of the issue. Readers will be able to see if stories are fake or if claims in the headline are false or being exaggerated. Fact check will initially be available in the UK and US through the Google News site as well as the News & Weather apps for both Android and iOS. Publishers who wish to become part of the new service can apply to have their sites included.
Woodford points to Facebook’s recent trouble with the truth within its Trending Topics feature and observes that many people are concerned about the lack of honesty on display this particular election cycle. Google, wisely, did not mention any candidates, but Woodford notes that Politifact rates 71% of Trump’s statements as false (and, I would add, 27% of Secretary Clinton’s statements as false. Everything is relative.) If the trend continues, it will be prudent for all citizens to rely on (unbiased) fact-checking tools on a regular basis.
Cynthia Murrell, October 26, 2016
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
Artificial Intelligence Is Only a Download Away
October 17, 2016
Artificial intelligence still remains a thing of imagination in most people’s minds, because we do not understand how much it actually impacts our daily lives. If you use a smartphone of any kind, it is programmed with software, apps, and a digital assistant teeming with artificial intelligence. We are just so used to thinking that AI is the product of robots that we are unaware our phones, tablets, and other mobiles devices are little robots of their own.
Artificial intelligence programming and development is also on the daily task list on many software technicians. If you happen to have any technical background, you might be interested to know that there are many open source options to begin experimenting with artificial intelligence. Datamation rounded up the “15 Top Open Source Artificial Intelligence Tools” and these might be the next tool you use to complete your machine learning project. The article shares that:
Artificial Intelligence (AI) is one of the hottest areas of technology research. Companies like IBM, Google, Microsoft, Facebook and Amazon are investing heavily in their own R&D, as well as buying up startups that have made progress in areas like machine learning, neural networks, natural language and image processing. Given the level of interest, it should come as no surprise that a recent artificial intelligence report from experts at Stanford University concluded that ‘increasingly useful applications of AI, with potentially profound positive impacts on our society and economy are likely to emerge between now and 2030.
The statement reiterates what I already wrote. The list runs down open source tools, including PredictionIO, Oryx 2, OpenNN, MLib, Mahout, H20, Distributed Machine Learning Toolkit, Deeplearning4j, CNTK, Caffe, SystemML, TensorFlow, and Torch. The use of each tool is described and most of them rely on some sort of Apache software. Perhaps your own artificial intelligence project can contribute to further development of these open source tools.
Whitney Grace, October 17, 2016
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
The Dark Web Casts a Shadow Toward Facebook
October 13, 2016
I read “Facebook Marketplace Becomes Black Market for Drugs and Guns.” The Dark Web is small, sort of a hassle, and generally disappointing for some of its most enthusiastic cheerleaders.
What’s that mean?
According to the write up:
Facebook launched Marketplace on Monday, October 3, offering users the opportunity to buy and sell items within their local community. On the day of its launch, the eBay and Craigslist competitor was already being used to list adult services, animals, drugs and other items that breach Facebook’s policies.
I learned:
Users took to social media to report listings on Marketplace, which included a hedgehog, a gun, a snake and a baby.
Facebook is in modification mode. Allegedly the company said via a spokesperson:
We are working to fix the problem and will be closely monitoring our systems to ensure we are properly identifying and removing violations before giving more people access to Marketplace.”
Several observations:
- Facebook reaches lots of people. The Dark Web doesn’t. Ergo. The Dark Web’s tendrils will reach toward the Facebook thing.
- Bad actors on the Dark Web are probably easier and quicker for authorities to observe.
- Facebook’s me too did not anticipate that its customers would bring the darkness to the otherwise sunny climes of grandmothers and their friends.
- Facebook’s strategic planning seems to have a bit of a gap.
Worth monitoring. From a distance.
Stephen E Arnold, October 13, 2016
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