2017年11月26日 星期日

抓住大陸豪打AI牌的商機

抓住大陸豪打AI牌的商機

陸將主導全球AI 對美威脅超朝核

20171126

言論部
人工智慧(AI)被稱為「全面的知識戰爭」。大陸將AI提升為「彎道超車」的國家戰略之一,官產學研商一齊發力,展現趕超美國、助推中華民族復興的強烈企圖心。

本月15日大陸科技部在北京召開「新一代人工智慧發展規畫暨重大科技專案啟動會」,宣布成立由15個部門構成的新一代人工智慧發展規畫推進辦公室,以及27名專家組成的新一代人工智慧戰略諮詢委員會。同時公布首批4家國家新一代人工智慧開放創新平台名單,包括依託百度公司建設自動駕駛平台、依託阿里雲公司建設城市大腦平台、依託騰訊公司建設醫療影像平台、依託科大訊飛公司建設智慧語音平台。

這次啟動會,距離大陸國務院印發《新一代人工智慧發展規畫》只有4個月,距離舉世矚目的中共十九大不到1個月。體現出大陸發展人工智慧「動真格」,欲在「新時代」有「新氣象」、「新作為」。綜觀內外情勢,大陸豪打AI牌,時機好、有章法、成算大。

其一,目標明確。北京已提出AI「三步走」戰略:2020年,人工智慧總體技術和應用要與世界先進水準同步;到2025年,人工智慧基礎理論實現重大突破,技術與應用部分達到世界領先水準,在重點應用領域初步形成自主的新一代人工智慧應用技術體系;到2030年,人工智慧理論、技術及應用總體達到世界領先水準,建立系統的新一代人工智慧理論與技術體系,占據人工智慧技術制高點,成為世界主要人工智慧創新中心。

其二,先發優勢AI不是新事物,從概念的提出至今已有60餘年,目前進入新階段。大陸雄厚的經濟、科技實力,「集中力量辦大事」的體制優勢,可以助其搶抓重大戰略機遇,構築AI發展的先發優勢。

其三,融合共用。大陸發展AI,固然有提升國家競爭力、維護國家安全的戰略考慮,也有藉此打造經濟發展新引擎、服務社會惠及民眾的目的。首次入選「國家隊」的4家企業,均是響噹噹的業界翹楚,取其公司第一個字母,大陸業界稱之為「BATX」。它們在AI領域各有所長,百度與金龍汽車合作生產一款無人駕駛的小巴車,最快在2018年實現量產;馬雲創辦的阿里雲公司,打造出全球最大規模的人工智慧公共系統,不斷以智慧「造城」;騰訊發布一款AI醫學影像產品──騰訊覓影,食道癌篩檢的準確率超過90%,在肺結核方面可以檢測出3毫米及以上的微小結節,準確率逾95%;科大訊飛開發的語音辨識系統,稱雄天下。

其四,商機無限。根據陸方發布的《新一代人工智慧發展規畫》,2020年大陸人工智慧核心產業規模料將超過1500億元(人民幣,下同),帶動相關產業規模超過1兆元;2025年,人工智慧核心產業規模超過4000億元,帶動相關產業規模超過5兆元;2030年人工智慧核心產業規模超過1兆元,帶動相關產業規模超過10兆元。AI前景廣闊,必帶來龐大商機,台商亦可從中獲益,兩岸找尋到合作空間。

未來並不遙遠,顛覆已在路上。日本經濟新聞和學術出版巨頭愛思唯爾(Elsevier)共同分析各國研究機構及大學等有關AI的論文被引用次數,結果發現大陸以大學為中心被引用數迅速增加。AI相關論文被引用數居首的是擁有語音辨識技術等的美國微軟,居次是新加坡的南洋理工大學,第3則是中國科學院。在前100名中,美國的機構達到30家,大陸也占其中15家,日本只有東京大學排在第64名。大趨勢很明顯,中美正爭鋒人工智慧研究,日本被遠遠甩在後面。

事實上,大陸的國際科技論文發表量和發明專利授權量已居世界第二,部分領域核心關鍵技術實現重要突破,高鐵、支付寶、共用單車、網購、無人機等令世人稱羨。


大陸AI強勢成軍,必會加速縮小與美國在基礎演算法、理論研究、企業數量、產業布局、人才隊伍等方面的差距,趕超美國不再遙不可及。

2017年11月20日 星期一

How Evil Is Tech?

How Evil Is Tech?

David Brooks NOV. 20, 2017

Not long ago, tech was the coolest industry. Everybody wanted to work at Google, Facebook and Apple. But over the past year the mood has shifted. Some now believe tech is like the tobacco industry — corporations that make billions of dollars peddling a destructive addiction. Some believe it is like the N.F.L. — something millions of people love, but which everybody knows leaves a trail of human wreckage in its wake. Surely the people in tech — who generally want to make the world a better place — don’t want to go down this road. It will be interesting to see if they can take the actions necessary to prevent their companies from becoming social pariahs.

There are three main critiques of big tech. The first is that it is destroying the young. Social media promises an end to loneliness but actually produces an increase in solitude and an intense awareness of social exclusion. Texting and other technologies give you more control over your social interactions but also lead to thinner interactions and less real engagement with the world.

As Jean Twenge has demonstrated in book and essay, since the spread of the smartphone, teens are much less likely to hang out with friends, they are less likely to date, they are less likely to work. Eighth graders who spend 10 or more hours a week on social media are 56 percent more likely to say they are unhappy than those who spend less time. Eighth graders who are heavy users of social media increase their risk of depression by 27 percent. Teens who spend three or more hours a day on electronic devices are 35 percent more likely to have a risk factor for suicide, like making a plan for how to do it. Girls, especially hard hit, have experienced a 50 percent rise in depressive symptoms.

The second critique of the tech industry is that it is causing this addiction on purpose, to make money. Tech companies understand what causes dopamine surges in the brain and they lace their products with “hijacking techniques” that lure us in and create “compulsion loops.” Snapchat has Snapstreak, which rewards friends who snap each other every single day, thus encouraging addictive behavior. News feeds are structured as “bottomless bowls” so that one page view leads down to another and another and so on forever. Most social media sites create irregularly timed rewards; you have to check your device compulsively because you never know when a burst of social affirmation from a Facebook like may come.
The third critique is that Apple, Amazon, Google and Facebook are near monopolies that use their market power to invade the private lives of their users and impose unfair conditions on content creators and smaller competitors. The political assault on this front is gaining steam. The left is attacking tech companies because they are mammoth corporations; the right is attacking them because they are culturally progressive. Tech will have few defenders on the national scene. Obviously, the smart play would be for the tech industry to get out in front and clean up its own pollution.

There are activists like Tristan Harris of Time Well Spent, who is trying to move the tech world in the right directions. There are even some good engineering responses. I use an app called Moment to track and control my phone usage. The big breakthrough will come when tech executives clearly acknowledge the central truth: Their technologies are extremely useful for the tasks and pleasures that require shallower forms of consciousness, but they often crowd out and destroy the deeper forms of consciousness people need to thrive.

Online is a place for human contact but not intimacy. Online is a place for information but not reflection. It gives you the first stereotypical thought about a person or a situation, but it’s hard to carve out time and space for the third, 15th and 43rd thought. Online is a place for exploration but discourages cohesion. It grabs control of your attention and scatters it across a vast range of diverting things. But we are happiest when we have brought our lives to a point, when we have focused attention and will on one thing, wholeheartedly with all our might.

Rabbi Abraham Joshua Heschel wrote that we take a break from the distractions of the world not as a rest to give us more strength to dive back in, but as the climax of living. “The seventh day is a palace in time which we build. It is made of soul, joy and reticence,” he said. By cutting off work and technology we enter a different state of consciousness, a different dimension of time and a different atmosphere, a “mine where the spirit’s precious metal can be found.”

Imagine if instead of claiming to offer us the best things in life, tech merely saw itself as providing efficiency devices. Its innovations can save us time on lower-level tasks so we can get offline and there experience the best things in life. Imagine if tech pitched itself that way. That would be an amazing show of realism and, especially, humility, which these days is the ultimate and most disruptive technology.


2017年11月18日 星期六

Our Love Affair With Digital Is Over

Our Love Affair With Digital Is Over

By DAVID SAX NOV. 18, 2017

A decade ago I bought my first smartphone, a clunky little BlackBerry 8830 that came in a sleek black leather sheath. I loved that phone. I loved the way it effortlessly slid in and out of its case, loved the soft purr it emitted when an email came in, loved the silent whoosh of its trackball as I played Brick Breaker on the subway and the feel of its baby keys clicking under my fat thumbs. It was the world in my hands, and when I had to turn it off, I felt anxious and alone.

Like most relationships we plunge into with hearts aflutter, our love affair with digital technology promised us the world: more friends, money and democracy! Free music, news and same-day shipping of paper towels! A laugh a minute, and a constant party at our fingertips. Many of us bought into the fantasy that digital made everything better. We surrendered to this idea, and mistook our dependence for romance, until it was too late.

Today, when my phone is on, I feel anxious and count down the hours to when I am able to turn it off and truly relax. The love affair I once enjoyed with digital technology is over — and I know I’m not alone. Ten years after the iPhone first swept us off our feet, the growing mistrust of computers in both our personal lives and the greater society we live in is inescapable.

This publishing season is flush with books raising alarms about digital technology’s pernicious effects on our lives: what smartphones are doing to our children; how Facebook and Twitter are eroding our democratic institutions; and the economic effects of tech monopolies. A recent Pew Research Center survey noted that more than 70 percent of Americans were worried about automation’s impact on jobs, while just 21 percent of respondents to a Quartz survey said they trust Facebook with their personal information. Nearly half of millennials worry about the negative effects of social media on their mental and physical health, according to the American Psychiatric Association. So what now?

As much as we might fantasize about it, we probably won’t delete our social media accounts and toss our phones in the nearest body of water. What we can do is to restore some sense of balance over our relationship with digital technology, and the best way to do that is with analog: the ying to digital’s yang. Thankfully, the analog world is still here, and not only is it surviving but, in many cases, it is thriving. Sales of old-fashioned print books are up for the third year in a row, according to the Association of American Publishers, while ebook sales have been declining. Independent bookstores have been steadily expanding for several years. Vinyl records have witnessed a decade-long boom in popularity (more than 200,000 newly pressed records are sold each week in the United States), while sales of instant-film cameras, paper notebooks, board games and Broadway tickets are all growing again.

This surprising reversal of fortune for these apparently “obsolete” analog technologies is too often written off as nostalgia for a predigital time. But younger consumers who never owned a turntable and have few memories of life before the internet drive most of the current interest in analog, and often include those who work in Silicon Valley’s most powerful companies.

Analog, although more cumbersome and costly than its digital equivalents, provides a richness of experience that is unparalleled with anything delivered through a screen. People are buying books because a book engages nearly all of their senses, from the smell of the paper and glue to the sight of the cover design and weight of the pages read, the sound of those sheets turning, and even the subtle taste of the ink on your fingertips. A book can be bought and sold, given and received, and displayed on a shelf for anyone to see. It can start conversations and cultivate romances. The limits of analog, which were once seen as a disadvantage, are increasingly one of the benefits people are turning to as a counterweight to the easy manipulation of digital.

Though a page of paper is limited by its physical size and the permanence of the ink that marks it, there is a powerful efficiency in that simplicity. The person holding the pen above that notebook page is free to write, doodle or scribble her idea however she wishes between those borders, without the restrictions or distractions imposed by software. In a world of endless email chains, group chats, pop-up messages or endlessly tweaked documents and images, the walled garden of analog saves both time and inspires creativity.

Web designers at Google have been required to use pen and paper as a first step when brainstorming new projects for the past several years, because it leads to better ideas than those begun on a screen. In contrast with the virtual “communities” we have built online, analog actually contributes to the real places where we live.

I have become friendly with Ian Cheung, the appropriately opinionated owner of June Records, up the street from my home in Toronto. I benefit not only from the tax revenues that June Records contributes as a local business (paving the roads, paying my daughter’s teachers) but also from living nearby. Like the hardware store, Italian grocer and butcher on the same block, the brick and mortar presence of June adds to my neighborhood’s sense of place (i.e., a place with a killer selection of Cannonball Adderley and local indie albums) and gives me a feeling of belonging.

I also have no doubts that, unlike Twitter, Ian would immediately kick out any Nazi or raving misogynist who started ranting inside his store. Analog excels particularly well at encouraging human interaction, which is crucial to our physical and mental well-being.

The dynamic of a teacher working in a classroom full of students has not only proven resilient, but has outperformed digital learning experiments time and again. Digital may be extremely efficient in transferring pure information, but learning happens best when we build upon the relationships between students, teachers and their peers. We do not face a simple choice of digital or analog. That is the false logic of the binary code that computers are programmed with, which ignores the complexity of life in the real world. Instead, we are faced with a decision of how to strike the right balance between the two. If we keep that in mind, we are taking the first step toward a healthy relationship with all technology, and, most important, one another.

David Sax is the author of “The Revenge of Analog: Real Things and Why They Matter.”


2017年11月15日 星期三

新科技的美麗與哀愁:AI是阻力還是助力?

新科技的美麗與哀愁:AI是阻力還是助力?

【吳碧娥╱北美智權報 編輯部】
1997 5 11 日,由IBM開發的超級電腦「深藍」(Deep Blue)第一次打敗了當時世界西洋棋冠軍加里·卡斯帕洛夫(Garry Kasparov),成為人工智慧的歷史性事件。台灣IBM公司全球企業諮詢服務事業群總經理賈景光在「眺望2018產業發展趨勢研討會」中指出,只要持續輸入所有棋譜資料,透過人工智慧演算,「電腦或人工智慧打敗人類」這個結果,可說是「回不去了」。不過也不用太悲觀,這只不過是「所有的數據」打敗「一個人」的智慧,未來並不是電腦與人的競爭,人工智慧與人類的關係將發展成「有用AI的人打敗沒有使用AI的人」,主體終究還是「人」。

而身為第一個被人工智慧打敗的西洋棋棋王,卡斯帕洛夫在時隔20年後出版的新書《Deep Thinking: Where Machine Intelligence Ends and Human Creativity Begins》中也呼籲,人們應該更樂觀看待人工智慧,並停止把機器當作對手看待。

在未來五到十年中,IBM 提出的AI AI (Augmented Intelligence) 是以「擴增智慧」為主力發展,賈景光強調,人工智慧是協助人們將工作的一部分自動化,而不是取代人類,透過人工智慧的決策輔助,人們可將其餘的工作做得更好。

在兩三年前,IBM人工智慧品牌華生 (WATSON) 投入試用時,第一個選擇的行業就是醫療產業,當IBM帶著WATSON到醫院請醫生試用時,卻引起醫生大怒,認為是在挑戰醫生的專業和經驗。其實WATSON使用的情境和醫生所想像的並不一樣,WATSON並不是代替醫生下診斷,而是透過事實和證據為基礎的判斷,做為醫生下最後診斷前的第二意見(second opinion)

由於WATSON可以在短短數秒內大量閱讀醫療期刊文獻,這是人類所做不到的。透過資料庫當中巨量的病例資料,WATSON針對病人症狀分析出各種可能的病因,可降低醫生誤診的機率;或是參考其他國家類似病例的用藥結果,提升醫生「用對藥」的機率。經一段時間試用後,超過八成的醫生都願意使用WATSON作為助手,讓病人得到更好的診治。賈景光解釋,AI並不是跟人搶飯碗,電腦的功能就是彙整資料,若人和電腦能各自針對高價值的項目相互協作,才是AI的價值所在。

國內發展AI 仍有「五缺」

國際研究暨顧問機構Gartner發現,從2016年到2017年間,與AI相關的問題諮詢多達4,353件,年成長高達五倍。根據Gartner調查,雖然多數企業都對AI有興趣,但近六成企業仍停留在「資訊蒐集」階段,真正採取行動的目前僅占12%。工研院IEK也在2016年至2017年調查國內六大產業共20家業者發現,業者對於引入人工智慧升級產業有強烈需求,但有許多執行上的共通問題,包括:缺乏對AI的應用、缺乏AI專業人才、缺乏performance認證場域、缺乏個資處理經驗、以及國內市場太小等產業「五缺」。

工研院IEK政府業務服務辦公室計畫副組長楊瑞臨指出,AI最具看好的應用是在「客戶關係與業務行銷管理」,像是客戶關係管理、強化客戶行為預測,不論是B2B或者是B2C都具相當發展潛力;此外,以AI結合IoTAIoT,未來在資源管理以及提升企業的生產力與競爭力上,將是各產業領域的重要發展方向。

楊瑞臨認為,AI將會取代許多人工作的說法應是言過其實,但A支援並協助許多職業提升整體工作成效則可預見。Gartner在今年8月的調查結果顯示,「人才缺乏」是目前人工智慧遇到最大的挑戰,不只影響企業導入AI的時程,甚至是「連人都找不到」。由於AI專業人才不足,導致人才競逐以及磁吸效應所帶來的人才分布不均,供需失衡之下,AI人才價碼水漲船高,也會直接影響AI的應用與改善人類生活及工作的進展期程。企業若能運用線上AI課程及多元的open-source資源,一點一滴逐步導入AI,可降低相當成本與縮短學習曲線。

2020AI機器人市場規模達800億美元

而導入人工智慧,最大目的是降低因應外界變化所需的成本,特別是用在生產製造的機器人上,未來機器人的產業地圖將會因AI而有顯著的改變。IEK預期,涵蓋人工智慧技術的機器人相關產品將以等比級數成長,全球市場規模將在2020年超過至800億美元。工研院IEK機械組機械部分析師黃仲宏指出,隨著人工智慧生態系的不斷擴大,當機器人可透過物聯網(IoT)與網路連結,再加上人工智慧的溝通功能,讓我們看見服務型機器人走向普及的曙光。目前全球主要IT公司產品幾乎都已經與AI脫離不了關係,加上GoogleMicrosoftFBAppleIBM等大廠陸續推出與AI相關的產品,積極搶當人工智慧的龍頭,接著就是要讓AI的價值被機器人彰顯;未來機器人的產業地圖將會因人工智慧而有顯著的改變,而新創公司亦扮演重要角色。

台商不能只做製造和加工

面對新科技,最大的贏家不是加倍複製成功的過去,而是能引導人們轉向成長產業的社會和企業,機器人產業就是其中之一。黃仲宏認為,工業機器人製造者有強者恆強、大者恆大的趨勢,台灣廠商不應只專注於製造和銷售機械手臂產品,儘管CP值高,卻是與德國Kuka、日本Fanuc等現有高市占率的工業機器人製造商硬碰硬,台廠要聚焦於已有的機器人製造發展經驗,與資通訊系統整合,進而運用人工智慧技術讓機器人產品發展後發先至,才能成為未來的優勢產品。


工研院IEK主任蘇孟宗認為,由人工智慧所引領的第四波科技創新正在發生,不論是既有產業的轉型升級,或是新創企業的突破創新,人工智慧都將是發展關鍵,如果能有效運用人工智慧,產業就能提升競爭力。過去台灣在高科技產業的國際分工體系中,扮演製造加工的代工角色,面對AIOT時代來臨,台灣的AI優勢在於製造業的終端資料、各類型資料庫(先進製造、健康醫療等)、及半導體核心運算技術等,應運用優勢扮演垂直整合或生態系領導者的關鍵伙伴,同時透過智慧系統與服務,可望提升製造業附加價值創造,強化供應鏈管理與帶動新需求,也能提高服務業勞動生產力,創造新型態科技服務模式。

Capitalism Has a Problem. Is Free Money the Answer?

Capitalism Has a Problem. Is Free Money the Answer?

By PETER S. GOODMAN NOV. 15, 2017 LONDON —

One need not be a card-carrying revolutionary to deduce that global capitalism has a problem. In much of the world, angry workers denounce a shortage of jobs paying enough to support middleclass life. Economists puzzle over the fix for persistently weak wage growth, just as robots appear poised to replace millions of human workers.

At the annual gathering of the global elite in the Swiss resort of Davos, billionaire finance chieftains debate how to make capitalism kinder to the masses to defuse populism. Enter the universal basic income. The idea is gaining traction in many countries as a proposal to soften the edges of capitalism.

Though the details and philosophies vary from place to place, the general notion is that the government hands out regular checks to everyone, regardless of income or whether people are working. The money ensures food and shelter for all, while removing the stigma of public support.

Some posit basic income as a way to let market forces work their ruthless magic, delivering innovation and economic growth, while laying down a cushion for those who fail. Others present it as a means of liberating people from wretched, poverty-level jobs, allowing workers to organize for better conditions or devote time to artistic exploits. Another school sees it as the required response to an era in which work can no longer be relied upon to finance basic needs.

“We see the increasing precariousness of employment,” said Karl Widerquist, a philosopher at Georgetown University in Qatar, and a prominent advocate for a universal social safety net. “Basic income gives the worker the power to say, ‘Well, if Walmart’s not going to pay me enough, then I’m just not going to work there.’ ” The universal basic income is clearly an idea with momentum.

Early this year, Finland kicked off a two-year national experiment in basic income. In the United States, a trial was recently completed in Oakland, Calif., and another is about to launch in nearby Stockton, a community hard-hit by the Great Recession and the attendant epidemic in home foreclosures. The Canadian province of Ontario is enrolling participants for a basic income trial. Several cities in the Netherlands are exploring what happens when they hand out cash grants unconditionally to people already receiving some form of public support. A similar test is underway in Barcelona, Spain.

A nonprofit organization, GiveDirectly, is proceeding with plans to provide universal cash grants in rural Kenya. As a concept, basic income has been kicked around in various guises for centuries, gaining adherents across a strikingly broad swath of the ideological spectrum, from the English social philosopher Thomas More to the American revolutionary Thomas Paine. The populist firebrand Louisiana governor Huey Long, the civil rights icon Martin Luther King Jr., and the laissez faire economist Milton Friedman would presumably agree on little, yet all advocated some version of basic income.

In a clear sign of its modern-day currency, the International Monetary Fund — not an institution prone to utopian dreaming — recently explored basic income as a potential salve for economic inequality. Not everyone loves the idea. Conservatives fret that handing out money free of obligation will turn people into dole-dependent slackers. In the American context, any talk of a truly universal form of basic income also collides with arithmetic. Give every American $10,000 a year — a sum still below the poverty line for an individual — and the tab runs to $3 trillion a year. That is about eight times what the United States now spends on social service programs. Conversation over.

Labor-oriented economists in the United States are especially wary of basic income, given that the American social safety programs have been significantly trimmed in recent decades, with welfare, unemployment benefits and food stamps all subject to a variety of restrictions. If basic income were to replace these components as one giant program — the proposal that would appeal to libertarians — it might beckon as a fat target for additional budget trimming.

“Tens of millions of poor people would likely end up worse off,” declared Robert Greenstein, president of the Center on Budget and Policy Priorities, a Washington-based research institution, in a recent blog post. “Were we starting from scratch — and were our political culture more like Western Europe’s — U.B.I. might be a real possibility. But that’s not the world we live in.” And some advocates for working people dismiss basic income as a wrongheaded approach to the real problem of not enough quality paychecks. “People want to work,” said the Nobel laureate economist Joseph E. Stiglitz when I asked him about basic income early this year. “They don’t want handouts.” Yet some of the basic income experiments now underway are engineered precisely to encourage people to work while limiting their contact with public assistance.

Finland’s trial is giving jobless people the same amount of money they were already receiving in unemployment benefits, while relieving them of bureaucratic obligations. The bet is that people will use time now squandered submitting paperwork to train for better careers, start businesses, or take part-time jobs. Under the system the trial replaces, people living on benefits risk losing support if they secure other income. In short, basic income is being advanced not as a license for Finns to laze in the sauna, but as a means of enhancing the forces of creative destruction so central to capitalism. As the logic goes, once sustenance is eliminated as a worry, weak companies can be shuttered without concern for those thrown out of work, freeing up capital and talent for more productive ventures.

The trials in the Netherlands, conducted at the municipal level, are similarly geared to paring bureaucracy from the unemployment system. Ditto, the Barcelona experiment. Silicon Valley has embraced basic income as a crucial element in enabling the continued rollout of automation. While engineers pioneer ways to replace human laborers with robots, financiers focus on basic income as a replacement for paychecks.

The experiment in Stockton, Calif. — set to become the first city government to test basic income — is underwritten in part by an advocacy group known as the Economic Security Project, whose backers include the Facebook co-founder Chris Hughes. The trial is set to begin next year, with an undisclosed number of residents to receive $500 a month. The trial in Oakland was the work of Y Combinator, a start-up incubator. Its researchers handed out varying grants to a few dozen people as a simple feasibility test for basic income. The next phase is far more ambitious. The Y Combinator researchers plan to distribute grants to 3,000 people with below-average incomes in two as-yet undisclosed American states. They will hand out $1,000 a month to 1,000 people, no strings attached, and $50 a month to the rest, allowing for comparisons in how recipients use the money, and what impact it has on their lives.

One key element of the basic income push is the assumption that poor people are better placed than bureaucrats to determine the most beneficial use of aid money. Rather than saddle recipients with complex rules and a dizzying array of programs, better to just give people money and let them sort out how to use it. This is a central idea of GiveDirectly’s program in Kenya, where it began a pilot study last year in which it handed out small, unconditional cash grants — about $22 a month — to residents of a single village. The program is now expanding its sights, with plans to hand out grants to some 16,000 people in 120 villages. From a research standpoint, these remain early days for basic income, a time for experimentation and assessment before serious amounts of money may be devoted to a new model for public assistance.


Yet from a political standpoint, basic income appears to have found its moment, one delivered by the anxieties of the working poor combined with those of the wealthy, who see in widening inequality the potential for mobs wielding pitchforks. “The interest is exploding everywhere,” said Guy Standing, a research associate at SOAS University of London. “The debates now are extraordinarily fertile.” 

2017年11月14日 星期二

The Ivory Tower Can’t Keep Ignoring Tech

The Ivory Tower Can’t Keep Ignoring Tech

By CATHY O’NEIL NOV. 14, 2017

These days, big data, artificial intelligence and the tech platforms that put them to work have huge influence and power. Algorithms choose the information we see when we go online, the jobs we get, the colleges to which we’re admitted and the credit cards and insurance we are issued. It goes without saying that when computers are making decisions, a lot can go wrong. Our lawmakers desperately need this explained to them in an unbiased way so they can appropriately regulate, and tech companies need to be held accountable for their influence over all elements of our lives.

But academics have been asleep at the wheel, leaving the responsibility for this education to well-paid lobbyists and employees who’ve abandoned the academy. That means our main source of information on the downside of bad technology — often after something’s gone disastrously awry, such as when we learned that fake news dominated our social media feeds before last year’s presidential election, threatening our democracy — is the media. But this coverage often misses everyday issues and tends to be far too credulous when it does exists.

Much of what should concern us is more nuanced and small scale — and much less understood — than what we see in the headlines. Moreover, we shouldn’t have to depend on journalism to do the tedious, serious work of understanding the problems with algorithms any more than we depend on it to pursue the latest questions in sociology or environmental science. We need academia to step up to fill in the gaps in our collective understanding about the new role of technology in shaping our lives. We need robust research on hiring algorithms that seem to filter out people with mental health disorders, sentencing algorithms that fail twice as often for black defendants as for white defendants, statistically flawed public teacher assessments or oppressive scheduling algorithms.

And we need research to ensure that the same mistakes aren’t made again and again. It’s absolutely within the abilities of academic research to study such examples and to push against the most obvious statistical, ethical or constitutional failures and dedicate serious intellectual energy to finding solutions. And whereas professional technologists working at private companies are not in a position to critique their own work, academics theoretically enjoy much more freedom of inquiry.

To be fair, there are real obstacles. Academics largely don’t have access to the mostly private, sensitive personal data that tech companies collect; indeed even when they study data-driven subjects, they work with data and methods that typically predict much more abstract things like disease or economics than human behavior, so they’re naïve about the effects such choices can have.

The academics who do get close to the big companies in terms of technique get quickly plucked out of academia to work for them, with much higher salaries to boot. That means professors working in computer science and robotics departments — or law schools — often find themselves in situations in which positing any skeptical message about technology could present a professional conflict of interest.

The many data science institutes around the country, which have created lucrative master’s programs to train data scientists, are more focused on trying to get a piece of the big data pie — in the form of collaborations and jobs for their graduates — than they are on asking how the pie should be made. We won’t find any help there. Indeed, while West Coast schools like Stanford and the University of California, Berkeley, are renowned for creating factories that churn out the future engineers and data scientists of Silicon Valley, there are very few coveted permanent, tenure-track jobs in the country devoted to algorithmic accountability.

A final hurdle: There is essentially no distinct field of academic study that takes seriously the responsibility of understanding and critiquing the role of technology — and specifically, the algorithms that are responsible for so many decisions — in our lives. That’s not surprising. Which academic department is going to give up a valuable tenure line to devote to this, given how much academic departments fight over resources already?

There’s one solution for the short term. We urgently need an academic institute focused on algorithmic accountability. First, it should provide a comprehensive ethical training for future engineers and data scientists at the undergraduate and graduate levels, with case studies taken from real-world algorithms that are choosing the winners from the losers.

Lecturers from humanities, social sciences and philosophy departments should weigh in. Second, this academic institute should offer a series of workshops, conferences and clinics focused on the intersection of different industries with the world of A.I. and algorithms. These should include experts in the content areas, lawyers, policymakers, ethicists, journalists and data scientists, and they should be tasked with poking holes in our current regulatory framework — and imagine a more relevant one. Third, the institute should convene a committee charged with reimagining the standards and ethics of human experimentation in the age of big data, in ways that can be adopted by the tech industry.

There’s a lot at stake when it comes to the growing role of algorithms in our lives. The good news is that a lot could be explained and clarified by professional and uncompromised thinkers who are protected within the walls of academia with freedom of academic inquiry and expression. If only they would scrutinize the big tech firms rather than stand by waiting to be hired. Cathy O’Neil is a data scientist and author of the book “Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy.


2017年11月7日 星期二

Waymo’s Autonomous Cars Cut Out Human Drivers in Road Tests

Waymo’s Autonomous Cars Cut Out Human Drivers in Road Tests

By DAISUKE WAKABAYASHI
NOV. 7, 2017 SAN FRANCISCO —

The self-driving car is edging closer to becoming driverless. Waymo, the autonomous car company from Google’s parent company Alphabet, has started testing a fleet of self-driving vehicles without any backup drivers on public roads, its chief executive said Tuesday. The tests, which will include passengers within the next few months, mark an important milestone that brings autonomous vehicle technology closer to operating without any human intervention.

Dozens of companies are testing self-driving technology on public roads across the United States and some autonomous features are available in today’s cars. But Waymo is believed to be the first company to test vehicles on public roads without a driver ready to take over in an emergency. “Our ultimate goal is to bring our fully self-driving technology to more cities in the U.S. and around the world,”

John Krafcik, Waymo’s chief, said in prepared remarks at a technology conference in Portugal on Tuesday. “Fully self-driving cars are here.” The tests are a show of engineering prowess by Waymo at a time when traditional automakers and other tech companies like Uber race to develop similar vehicles. Waymo is limiting the trials to a region around Phoenix, where it has been conducting a ride-testing program this year, and plans to expand the testing area over time.

The company said it planned to use the driverless vehicles to launch a commercial ride-hailing service for the general public, but did not offer any detail on when, where or how. Waymo said its driverless cars hit the public roads last month. The company did not say whether it was testing the driverless cars in environments considered challenging for autonomous vehicles, like bridges or tunnels, or more difficult conditions, like driving at night or in rain and snow — usually not a big concern in the dry Phoenix climate.

While the prospect of cars without emergency drivers may raise concerns among some passengers, Waymo said it had confidence in the safety of its self-driving technology. It has included backup systems like a secondary computer to take over if the main computer fails. And though the cars are driverless, they are not entirely without humans, at least for now.

Waymo employees sit in the back seat of the cars, monitoring them, a company spokesman, Johnny Luu, said. Once passengers join the tests, they will be able to contact Waymo support staff with a button inside the car. If the cars are involved in a crash, they are programmed to respond appropriately, including pulling off the road on their own.

Driverless cars are regulated by a patchwork of state laws. Arizona, like many states, has no restrictions against operating an autonomous vehicle without a person in the driver’s seat. On the other hand, California, where Waymo is headquartered, requires any self-driving car to have a safety driver sitting in the front. In December, Waymo published a report for California’s Department of Motor Vehicles about how frequently its car “disengaged” — deactivating its autonomous mode because of a system failure or safety risk and forcing a human driver to take over. In the report, Waymo said this happened once every 5,000 miles the cars drove in 2016, compared with once every 1,250 miles in 2015.

Consumer Watchdog, a frequent critic of Alphabet, said that data demonstrated that the cars are not ready to drive without any human intervention and that Waymo was following the Silicon Valley model of “beta testing” a new technology on the public. “It’s the wrong approach when you’re dealing with self-driving cars,” said John M. Simpson, a director at Consumer Watchdog.

“When things go wrong with a robot car, you kill people.” Researchers believe self-driving cars can be safer than cars operated by human drivers because they are programmed to adhere strictly to traffic laws, they don’t get distracted, and they usually refrain from taking unnecessary risks. Timothy Tait, a spokesman for the Arizona Department of Transportation, said the state was on pace to exceed 1,000 automobile-related fatalities this year and that its top priority is the public’s safety — particularly by advancing efforts to reduce crashes and deaths on its roads. “We are closely monitoring emerging technologies like self-driving cars that may ultimately support safer travel and open up opportunities for populations who today are unable to drive for themselves,” he said in a statement.

Waymo, which started as a research and development project for Google in 2009, maintains what many in the industry consider a technological advantage over its competitors. Waymo said its autonomous vehicles had driven more than 3.4 million miles on actual roads — with safety drivers — as well as running 10 million miles every day in a virtual simulator. In his remarks, Mr. Krafcik said Waymo sees a ride-hailing taxi service as the first commercial application of the company’s driverless car technology, though there could be other uses in logistics and public transportation.

Taking the human out of the equation will fundamentally change transportation and change how people buy cars, said Mr. Krafcik, who was an executive at Hyundai Motors before joining Google. “Because you’re accessing vehicles rather than owning, in the future, you could choose from an entire fleet of vehicle options that are tailored to each trip you want to make,” he said. “They can be designed for specific purposes or tasks.”