from the world's big
The Silicon Valley titan has promised scholarships for its tech-focused certificate courses alongside $10 million in job training grants.
An improved educational pipeline?<img type="lazy-image" data-runner-src="https://assets.rebelmouse.io/eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpbWFnZSI6Imh0dHBzOi8vYXNzZXRzLnJibC5tcy8yMzQ2MTkxMC9vcmlnaW4uanBnIiwiZXhwaXJlc19hdCI6MTY1NDYyMTg5MX0.TVNqimPHbfhkKlIN9DTP5yp2pIawOnw3wY8JftScL7Q/img.jpg?width=1245&coordinates=19%2C0%2C40%2C0&height=700" id="97f7f" class="rm-shortcode" data-rm-shortcode-id="9604c323cf271eea7f9e8280560522ac" data-rm-shortcode-name="rebelmouse-image" alt="color-coded jobs versus education chart" />
A chart showing the increase and decrease of "good jobs" based on level of education required.
An improved educational pipeline?<span style="display:block;position:relative;padding-top:56.25%;" class="rm-shortcode" data-rm-shortcode-id="77b5b15734c284f2a93fc07f568490b6"><iframe type="lazy-iframe" data-runner-src="https://www.youtube.com/embed/QQYm_XI8n20?rel=0" width="100%" height="auto" frameborder="0" scrolling="no" style="position:absolute;top:0;left:0;width:100%;height:100%;"></iframe></span><p>The need for middle-skills will grow as the American workforce continues to digitize at an extraordinary rate. <a href="https://www.brookings.edu/research/digitalization-and-the-american-workforce/" target="_blank">According to the Brookings Institution</a>, in 2002 just 5 percent of jobs studied—which covered 90 percent of the workforce—required high-digital skills while 40 percent required medium-level skills. By 2016, that percentage rose to 23 and 48 respectively. In the same period, jobs requiring low-digital skills fell precipitously, from 56 to 30 percent. Beyond rapid job growth and competitive advantage, those with the skills are set to reap the economic rewards.</p><p>But more needs to be done. </p><p>As of this writing, more than 275,000 people have enrolled in Google's IT Support course, but it's unclear how many companies will accept the certificate as proof of capability. While Google and its <a href="https://grow.google/employers/" target="_blank">Employer Consortium</a>, a group of employers who connect with Google to find prospective candidates, may consider the certificate equivalent to a four-year degree, <a href="https://www.ziprecruiter.com/blog/do-employers-take-massive-open-online-courses-seriously/" target="_blank">MOOC certifications lack the universality</a> of either associate's or bachelor's degrees. <a href="https://files.eric.ed.gov/fulltext/ED571496.pdf" target="_blank">Without mainstream acceptance</a>, graduates may be contending with each other within a puddle of prospective companies, not the vast, oceanic marketplace of corporate America.</p><p>And the COVID-19 pandemic hasn't halted but accelerated digitalization as companies widely adopt new <a href="https://www.cnbc.com/2020/06/16/the-coronavirus-fueled-tech-trends-that-will-continue-to-dominate.html" target="_blank">technological trends to survive</a>. Many of the 20 million unemployed Americans may suddenly need to upskill or even find their jobs outsourced to the digital realm. They'll need a quick, yet employer recognized, means to acquire new skills to help find work. </p><p>Ten million dollars will buy Google—a company valued at <a href="https://www.marketwatch.com/story/google-parent-alphabet-joins-1-trillion-in-market-value-for-first-time-2020-01-16" target="_blank">one trillion dollars</a>—a nice commemorative brick in the path to a solution and hopefully help many lives. But we have many miles of work to go.</p>
The programming giant exits the space due to ethical concerns.
- IBM sent a latter to Congress stating it will no longer research, develop, or sell facial recognition software.
- AI-based facial recognition software remains widely available to law enforcement and private industry.
- Facial recognition software is far from infallible, and often reflects its creators' bias.
In what strikes one as a classic case of shutting the stable door long after the horse has bolted, IBM's CEO Arvind Krishna has announced the company will no longer sell general-purpose facial recognition software, citing ethical concerns, in particular with the technology's potential for use in racial profiling by police. They will also cease research and development of this tech.
While laudable, this announcement arguably arrives about five years later than it might have, as numerous companies sell AI-based facial recognition software, often to law enforcement. Anyone who uses Facebook or Google also knows all about this technology, as we watch both companies tag friends and associates for us. (Facebook recently settled a lawsuit regarding the unlawful use of facial recognition for $550 million.)
It's worth noting that no one other than IBM has offered to cease developing and selling facial recognition software.
Image source: Tada Images/Shutterstock
Krishna made the announcement in a public letter to Senators Cory Booker (D-NJ) and Kamala Harris (D-CA), and Representatives Karen Bass (D-CA), Hakeem Jeffries (D-NY), and Jerrold Nadler (D-NY). Democrats in Congress are considering legislation to ban facial-recognition software as reported abuses pile up.
IBM's letter states:
"IBM firmly opposes and will not condone uses of any technology, including facial recognition technology offered by other vendors, for mass surveillance, racial profiling, violations of basic human rights and freedoms, or any purpose which is not consistent with our values and Principles of Trust and Transparency. We believe now is the time to begin a national dialogue on whether and how facial recognition technology should be employed by domestic law enforcement agencies."
Prior to their exit entirely from facial recognition, IBM had a mixed record. The company scanned nearly a million Creative Commons images from Flickr without their owners' consent. On the other hand, IBM released a public data set in 2018 in an attempt at transparency.
Image source: Best-Backgrounds/Shutterstock
Privacy issues aside — and there definitely are privacy concerns here — the currently available software is immature and prone to errors. Worse, it often reflects the biases of its programmers, who work for private companies with little regulation or oversight. And since commercial facial recognition software is sold to law enforcement, the frequent identification errors and biases are dangerous: They can ruin the lives of innocent people.
The website Gender Shades offers an enlightening demonstration of the type of inaccuracies to which facial recognition is inclined. The page was put together by Joy Buolamwini and Timnit Gebru in 2018, and doesn't reflect the most recent iterations of the software it tests, from three companies, Microsoft, the now-presumably-late IBM Watson, and Face++. Nonetheless, it's telling. To begin with, all three programs did significantly better at identifying men than women. However, when it came to gender identification — simplified to binary designations for simplicity — and skin color, the unimpressive results were genuinely troubling for the bias they reflected.
Amazon's Rekognition facial recognition software is the one most frequently sold to law enforcement, and an ACLU test run in 2018 revealed it also to be pretty bad: It incorrectly identified 28 members of Congress as people in a public database of 28,000 mugshots.
Update, 6/11/2020: Amazon today announced a 12-month moratorium on law-enforcement use of Rekognition, expressing the company's hope that Congress will in the interim enact "stronger regulations to govern the ethical use of facial recognition technology."
In 2019, a federal study by the National Institute of Standards and Technology reported empirical evidence of bias relating to age, gender, and race in the 189 facial recognition algorithms they analyzed. Members of certain groups of people were 100 times more likely to be misidentified. This study is ongoing.
Facial rec's poster child
Image source: Gian Cescon/Unsplash
The company most infamously associated with privacy-invading facial recognition software has to be Clearview AI, about whom we've previously written. This company scraped identification from over 3 billion social media images without posters' permission to develop software sold to law enforcement agencies.
The ACLU sued Clearview AI in May of 2020 for engaging in "unlawful, privacy-destroying surveillance activities" in violation of Illinois' Biometric Information Privacy Act. The organization wrote to CNN, "Clearview is as free to look at online photos as anyone with an internet connection. But what it can't do is capture our faceprints — uniquely identifying biometrics — from those photos without consent." The ACLU's complaint alleges "In capturing these billions of faceprints and continuing to store them in a massive database, Clearview has failed, and continues to fail, to take the basic steps necessary to ensure that its conduct is lawful."
The longer term
Though it undoubtedly sends a chill down the spine, the onrush of facial recognition technologies — encouraged by the software industry's infatuation with AI — suggests that we can't escape being identified by our faces for long, legislation or not. Advertisers want to know who we are, law enforcement wants to know who we are, and as our lives revolve ever more decisively around social media, many will no doubt welcome technology that automatically brings us together with friends and associates old and new. Concerns about the potential for abuse may wind up taking a back seat to convenience.
It's been an open question for some time whether privacy is even an issue for those who've grown up surrounded by connected devices. These generations don't care so much about privacy because they — realistically — don't expect it, particularly in the U.S. where very little is legally private.
IBM's principled stand may ultimately be more pyrrhic than anything else.
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Interpreter, Google's language translating tool, is coming to mobile and it's poised to change our everyday conversations.
- Google's real-time language translation tool, Interpreter Mode, is now accessible on mobile devices.
- Through easy, real-time translation, individuals will be able to better immerse themselves in new cultures and connect with others in more intimate, fulfilling ways.
- As the linguistic topography of the U.S. changes, Google is making it easier than ever to embrace new cultures by learning their languages.
Interpreter is coming to mobile<img type="lazy-image" data-runner-src="https://assets.rebelmouse.io/eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpbWFnZSI6Imh0dHBzOi8vYXNzZXRzLnJibC5tcy8yMjE5MDk0Ni9vcmlnaW4uanBnIiwiZXhwaXJlc19hdCI6MTYxMTI5NjE0M30.DyEqp889Nf8spRPsHx-LicZh4DBnf3QaXlFzRaY6t54/img.jpg?width=1245&coordinates=0%2C61%2C0%2C218&height=700" id="4688a" class="rm-shortcode" data-rm-shortcode-id="1424905e4ffc317fb04c934630935fdb" data-rm-shortcode-name="rebelmouse-image" />
Photo Source: Matteo Doni / Flickr<p><a href="https://techcrunch.com/2019/12/12/interpreter-googles-real-time-translator-comes-to-mobile/" target="_blank">As of last week</a>, the tech giant's real-time language translation tool, Interpreter, is now accessible on mobile, both on iOS and Android devices. This snazzy feature is integrated within the Google Assistant app and is activated by saying, "Hey Google, be my Ukrainian translator." Or whichever of its<a href="https://support.google.com/assistant/answer/9234753#interpreter_languages" target="_blank"> 44 available languages</a> you need help with. </p><p>Then, violà, a linguistic assistant is at your service. The tool will translate your speech and read it out loud along with offering a real-time translated transcript that appears in text bubbles. Say you're traveling in a non-English speaking country and are trying to chat with someone, this feature would help both parties follow along. Additionally, the tool offers Smart Replies similar to Gmail, short phrases you can add that the A.l.-powered software thinks might be natural follow-ups so you can smoothly keep the conversation rolling. Google Lens, which is integrated into Assistant on Android phones, allows you to use your phone's camera to take pictures of a text, like a sign, and have the words converted into a different language. </p><p>Before now, Interpreter Mode was <a href="https://www.theverge.com/2019/2/5/18212383/google-assistant-interpreter-mode-available-roll-out-home-smart-speaker-smart-display" target="_blank">only available on</a> Google Home smart speakers and displays –– which isn't exactly conducive in real world situations. Unfortunately, for the time being, you'll need to be online to make the app work.</p>