Gender Bias in Voice Recognition Software

February 21, 2017

A recent study seems to confirm what some have suspected: “Research Shows Gender Bias in Google’s Voice Recognition,” reports the Daily Dot. Not that this is anything new. Writer Selena Larson reminds us that voice recognition tech has a history of understanding men better than women, from a medical tracking system to voice-operated cars.  She cites a recent study by linguist researcher Rachael Tatman, who found that YouTube’s auto captions performed better on male voices than female ones by about 13 percent—no small discrepancy. (YouTube is owned by Google.)

Though no one is accusing the tech industry of purposely rendering female voices less effective, developers probably could have avoided this problem with some forethought. The article explains:

’Language varies in systematic ways depending on how you’re talking,’ Tatman said in an interview. Differences could be based on gender, dialect, and other geographic and physical attributes that factor into how our voices sound. To train speech recognition software, developers use large datasets, either recorded on their own, or provided by other linguistic researchers. And sometimes, these datasets don’t include diverse speakers.

Tatman recommends a purposeful and organized approach to remedying the situation. Larson continues:

Tatman said the best first step to address issues in voice tech bias would be to build training sets that are stratified. Equal numbers of genders, different races, socioeconomic statuses, and dialects should be included, she said.

Automated technology is developed by humans, so our human biases can seep into the software and tools we are creating to supposedly to make lives easier. But when systems fail to account for human bias, the results can be unfair and potentially harmful to groups underrepresented in the field in which these systems are built.

Indeed, that’s the way bias works most of the time—it is more often the result of neglect than of malice. To avoid it requires realizing there may be a problem in the first place, and working to avoid it from the outset. I wonder what other technologies could benefit from that understanding.

Cynthia Murrell, February 21, 2017

Upgraded Social Media Monitoring

February 20, 2017

Analytics are catching up to content. In a recent ZDNet article, Digimind partners with Ditto to add image recognition to social media monitoring, we are reminded images reign supreme on social media. Between Pinterest, Snapchat and Instagram, messages are often conveyed through images as opposed to text. Capitalizing on this, and intelligence software company Digimind has announced a partnership with Ditto Labs to introduce image-recognition technology into their social media monitoring software called Digimind Social. We learned,

The Ditto integration lets brands identify the use of their logos across Twitter no matter the item or context. The detected images are then collected and processed on Digimind Social in the same way textual references, articles, or social media postings are analysed. Logos that are small, obscured, upside down, or in cluttered image montages are recognised. Object and scene recognition means that brands can position their products exactly where there customers are using them. Sentiment is measured by the amount of people in the image and counts how many of them are smiling. It even identifies objects such as bags, cars, car logos, or shoes.

It was only a matter of time before these types of features emerged in social media monitoring. For years now, images have been shown to increase engagement even on platforms that began focused more on text. Will we see more watermarked logos on images? More creative ways to visually identify brands? Both are likely and we will be watching to see what transpires.

Megan Feil, February 20, 2017

 

Kasperski Discovers Firmware-Level Spyware Linked to NSA

February 20, 2017

It looks like the NSA is hacking computers around the world by accessing hard-drive firmware, reports Sott in their article, “Russian Researchers Discover NSA Spying and Sabotage Software Hidden in Hard Drives.” We learn that Russian security firm Kaspersky Lab found the sneaky software lurking on hard drives in 30 countries, mostly at government institutions, telecom and energy companies, nuclear research facilities, media outlets, and Islamic activist organizations. Apparently, the vast majority of hard drive brands are vulnerable to the technique. Writer Joseph Menn reports:

According to Kaspersky, the spies made a technological breakthrough by figuring out how to lodge malicious software in the obscure code called firmware that launches every time a computer is turned on. Disk drive firmware is viewed by spies and cybersecurity experts as the second-most valuable real estate on a PC for a hacker, second only to the BIOS code invoked automatically as a computer boots up. ‘The hardware will be able to infect the computer over and over,’ lead Kaspersky researcher Costin Raiu said in an interview.

Though the leaders of the still-active espionage campaign could have taken control of thousands of PCs, giving them the ability to steal files or eavesdrop on anything they wanted, the spies were selective and only established full remote control over machines belonging to the most desirable foreign targets, according to Raiu. He said Kaspersky found only a few especially high-value computers with the hard-drive infections.

Kaspersky’s reconstructions of the spying programs show that they could work in disk drives sold by more than a dozen companies, comprising essentially the entire market. They include Western Digital Corp, Seagate Technology Plc, Toshiba Corp, IBM, Micron Technology Inc and Samsung Electronics Co Ltd.”

Kaspersky did not come right out and name the NSA as the source of the spyware, but did connect it to Stuxnet, a known NSA tool. We also learn that a “former NSA employee” confirmed Kaspersky’s analysis, stating these tools are as valuable as Stuxnet.

Menn notes that this news could increase existing resistance to Western technology overseas due to security concerns. Researcher Raiu specifies that whoever created the spyware must have had access to the proprietary source code for the drives’ firmware. While Western Digital, Seagate, and Micron deny knowledge, Toshiba, Samsung, and IBM remain mum on the subject. Navigate to the article to read more details, or to view the four-minute video (scroll down a bit for that.)

Cynthia Murrell, February 20, 2017

Quote to Note: Technology Bummer

February 17, 2017

I was surfing through Canada’s online newspapers to see what’s hot and what’s not in the world center for artificial intelligence. (Yes, I believe the Industry Canada PR about Google and Microsoft setting up smart software shops in a land where some of my relatives live.)

I read  this uplifting article: “A Flare for Self-Destruction: How Technology Is the Means, Not the Cause, of Our Demise.”

Here’s the quote I noted:

Technologies are just the enabling routes to self-destruction, not the cause.

The write up includes some comments about the cloud, offering this insight to letting other people handle one’s data:

Many computer users go along with this [cloud]  promise, because cloud storage is cheap, convenient and seemingly infinite. But this means that the company has access to our confidential information. Moreover, there is no guarantee that it will keep its side of the deal. It may get taken over, or it may go bankrupt. Moreover, if we stop our payments – or, for that matter, die – the company may render our data inaccessible, or even delete it. Perhaps “cloud computing” should be renamed “cloud-cuckoo computing.”

Let me point out that the newspaper is not pushing negativism. The article is a book review of Peter Townsend’s The Dark Side of Technology. Sounds like a fun read. Tip: Read Jacques Ellul’s Technological Bluff. It’s a spirit lifter too.

St4ephen E Arnold, February 17, 2017

Bing Improvements

February 17, 2017

Online marketers are usually concerned with the latest Google algorithm, but Microsoft’s Bing is also a viable SEO target. Busines2Community shares recent upgrades to that Internet search engine in its write-up, “2016 New Bing Features.” The section on the mobile app seems to be the most relevant to those interested in Search developments. Writer Asaf Hartuv tells us:

For search, product and local results were improved significantly. Now when you search using the Bing app on an iPhone, you will get more local results with more information featured right on the page. You won’t have to click around to get what you want.

Similarly, when you search for a product you want to buy, you will get more options from more stores, such as eBay and Best Buy. You won’t have to go to as many websites to do the comparison shopping that is so important to making your purchase decision.

While these updates were made to the app, the image and video search results were also improved. You get far more options in a more user-friendly layout when you search for these visuals.

The Bing app also includes practical updates that go beyond search. For example, you can choose to follow a movie and get notified when it becomes available for streaming. Or you can find local bus routes or schedules based on the information you select on a map.

Hartuv also discusses upgrades to Bing Ads (a bargain compared to Google Ads, apparently), and the fact that Bing is now powering AOL’s search results (after being dropped by Yahoo). He also notes that, while not a new feature, Bing Trends is always presenting newly assembled, specialized content to enhance users’ understanding of current events. Hartuv concludes by prompting SEO pros to remember the value of Bing.

Cynthia Murrell, February 17, 2017

The Current State of Enterprise Search, by the Numbers

February 17, 2017

The article and delightful Infographic on BA Insight titled Stats Show Enterprise Search is Still a Challenge builds an interesting picture of the present challenges and opportunities surrounding enterprise search, or at least alludes to them with the numbers offered. The article states,

As referenced by AIIM in an Industry Watch whitepaper on search and discovery, three out of four people agree that information is easier to find outside of their organizations than within. That is startling! With a more effective enterprise search implementation, these users feel that better decision-making and faster customer service are some of the top benefits that could be immediately realized.

What follows is a collection of random statistics about enterprise search. We would like to highlight one stat in particular: 58% of those investing in enterprise search get no payback after one year. In spite of the clear need for improvements, it is difficult to argue for a technology that is so long-term in its ROI, and so shaky where it is in place. However, there is a massive impact on efficiency when employees waste time looking for the information they need to do their jobs. In sum: you can’t live with it, and you can’t live (productively) without it.

Chelsea Kerwin, February 17, 2017

Creating a Product Taxonomy Just Got a Whole Lot Easier

February 16, 2017

The article on PRWeb titled WAND, Inc. Announces the Launch of the WAND eCommerce Taxonomy Portal discusses the breakthrough in classification technology from WAND. WAND Inc. is a Denver-based company that has been around since 1938 and holds a tight grip on industry vertical taxonomies, business taxonomies, and specialty domain taxonomies.

Users of the WAND eCommerce Taxonomy Portal can select from a content library of more than 44,000 hierarchical categories, 70,000 attributes, and over 260,000 attribute values to jump-start a taxonomy. Tools to customize the category hierarchy and attribute templates are simple to use and the pre-defined content can be augmented with new categories and attributes to efficiently build a custom taxonomy. The resulting custom product taxonomy can be exported into any common data format for import into product information management software or ecommerce platforms.

Perfect for retail, ecommerce, procurement, MDM, and manufacturing companies, the eCommerce Taxonomy Portal provides a foundation to build on, and averts the painstaking process of building classifications up from scratch. Mark Leher, WAND’s COO, is quoted in the article defining the web-based applications place in the master data management arena. He explains that it can be used to speed up taxonomy projects by empowering users to simply edit, rather than start from the very beginning.

Chelsea Kerwin, February 16, 2017

Investment Group Acquires Lexmark

February 15, 2017

We read with some trepidation the Kansas City Business Journal’s article, “Former Perceptive’s Parent Gets Acquired for $3.6B in Cash.”  The parent company referred to here is Lexmark, which bought up one of our favorite search systems, ISYS Search, in 2012 and placed it under its Perceptive subsidiary, based in Lenexa, Kentucky. We do hope this valuable tool is not lost in the shuffle.

Reporter Dora Grote specifies:

A few months after announcing that it was exploring ‘strategic alternatives,’ Lexmark International Inc. has agreed to be acquired by a consortium of investors led by Apex Technology Co. Ltd. and PAG Asia Capital for $3.6 billion cash, or $40.50 a share. Legend Capital Management Co. Ltd. is also a member of the consortium.

Lexmark Enterprise Software in Lenexa, formerly known as Perceptive Software, is expected to ‘continue unaffected and benefit strategically and financially from the transaction’ the company wrote in a release. The Lenexa operation — which makes enterprise content management software that helps digitize paper records — dropped the Perceptive Software name for the parent’s brand in 2014. Lexmark, which acquired Perceptive for $280 million in cash in 2010, is a $3.7 billion global technology company.

If the Lexmark Enterprise Software (formerly known as Perceptive) division will be unaffected, it seems they will be the lucky ones. Grote notes that Lexmark has announced that more than a thousand jobs are to be cut amid restructuring. She also observes that the company’s buildings in Lenexa have considerable space up for rent. Lexmark CEO Paul Rooke is expected to keep his job, and headquarters should remain in Lexington, Kentucky.

Cynthia Murrell, February 15, 2017

The Pros and Cons of Human Developed Rules for Indexing Metadata

February 15, 2017

The article on Smartlogic titled The Future Is Happening Now puts forth the Semaphore platform as the technology filling the gap between NLP and AI when it comes to conversation. The article posits that in spite of the great strides in AI in the past 20 years, human speech is one area where AI still falls short. The article explains,

The reason for this, according to the article, is that “words often have meaning based on context and the appearance of the letters and words.” It’s not enough to be able to identify a concept represented by a bunch of letters strung together. There are many rules that need to be put in place that affect the meaning of the word; from its placement in a sentence, to grammar and to the words around – all of these things are important.

Advocating human developed rules for indexing is certainly interesting, and the author compares this logic to the process of raising her children to be multi-lingual. Semaphore is a model-driven, rules-based platform that allows us to auto-generate usage rules in order to expand the guidelines for a machine as it learns. The issue here is cost. Indexing large amounts of data is extremely cost-prohibitive, and that it before the maintenance of the rules even becomes part of the equation. In sum, this is a very old school approach to AI that may make many people uncomfortable.

Chelsea Kerwin, February 15, 2017

Data Mining Firm Cambridge Analytica Set to Capture Trump White House Communications Contract and Trump Organization Sales Contract

February 13, 2017

The article titled Data Firm in Talks for Role in White House Messaging — And Trump Business on The Guardian discusses the future role of Cambridge Analytica in both White House communication and the Trump Organization as well. Cambridge Analytica is a data company based out of London that boasts crucial marketing and psychological data on roughly 230 million Americans. The article points out,

Cambridge’s data could be helpful in both “driving sales and driving policy goals”, said the digital source, adding: “Cambridge is positioned to be the preferred vendor for all of that.”… The potential windfall for the company comes after the Mercers and Cambridge played key roles in Trump’s victory. Cambridge Analytica was tapped as a leading campaign data vendor as the Mercers… The Mercers reportedly pushed for the addition of a few top campaign aides, including Bannon and Kellyanne Conway, who became campaign manager.

Robert Mercer is a major investor in Cambridge Analytica as well as Breitbart News, Steve Bannon’s alt-right news organization. Steve Bannon is also on the board of Cambridge Analytica. The entanglements mount. Prior to potentially snagging these two wildly conflicting contracts, Cambridge Analytica helped Trump win the presidency with their data modeling and psychological profiling that focuses on building intimate relationships between brands and consumers to drive action.

Chelsea Kerwin, February 13, 2017

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