Human-Centered A.I. is the Future of Talent Management
Will A.I. eliminate my job?
It’s a clickbait title most of us are now familiar with.
In recent years we’ve been met with a wave of articles and soundbites — ranging from the realistic to apocalyptic — speculating as to whether A.I. will replace human jobs, take over the world, or otherwise render Us insignificant.
Tesla CEO Elon Musk has even gone so far as to suggest that the volume of jobs that will be lost due to automation will create the need for a universal basic income.
A fear of new technology, and of the impact that that technology will have upon the job market is not new.
Technological developments that arose during the Industrial Revolution created public fear of mass unemployment (a fear that ultimately proved to be unfounded given the large number of new jobs these technologies created).
Yet the narratives have never felt quite so existential before this moment.
So what is different about A.I. that has so captured the public interest, and it seems, fear?
It seems to lie in the idea that intelligent machines will not seek to supplement aspects of our existence, but rather, replace us entirely.
Computer Scientist Subhash Kak advocates for this idea with respect to the job market in his think piece for NBC News (a piece, it is worth noting, entitled “Will robots take your job?”). The reason A.I presents a greater threat to society as we know it, he argues, is “today’s A.I. technology aims to replacethe human mind,” not simply to make industries more efficient (my emphasis).
It would be naive to ignore the reality of Kak’s argument with respect to tasks requiring learning and judgement. A.I. is already replacing human decision-making in industries such as transportation and manufacturing.
But are all applications of A.I. really aiming to replace the human mind in the workplace? And should they?
There are other views — and other technological frameworks — to be had here.
“Human-Centered A.I.”
In opposition to A.I.’s “takeover” rhetoric exists a school of thought that explicitly acknowledges the benefit of partnership between humans and intelligent machines.
Fei-Fei Li, director of the Stanford Artificial Intelligence Lab, calls this approach “human-centered A.I.” — a framework for guiding the development of intelligent machines by human concerns.
At a high level, the goals of human-centered A.I. are as follows:
A.I. should aim to enhance human thought rather than replace it
A.I. should encompass the more nuanced and contextual aspects of human intellect, aided by outside fields such as psychology and sociology
The development of A.I. technology should be guided by a concern for its effect on humans
There are a number of cross-industry applications of A.I. that can be viewed within this partnership framework.
Take, for example, the development of robots used to reduce costs, time, and human-error during surgery, allowing doctors to focus on the more nuanced aspects of the surgical process. Or, developments of A.I. in agriculture, such as Blue River Technology’s “see and spray” technique for applying herbicide only where needed, saving farmers money on herbicide and delivering a more sustainable product to consumers.
But perhaps even more in contrast to the fear of a robot taking one’s job, is the increasing extent to which A.I. is being applied the field of talent management.
That is to say, A.I. is being used to actually improve the workplace and the worker experience, rather than replace the worker.
A.I. as a Tool for Improving the Workplace
In the past several years, we have seen an emergence of companies applying A.I. to problems in talent management. From Paradox.AI’s Olivia, to Beameryand Textio, its fair to say that A.I. is on HR’s radar in a way that it wasn’t 5 years ago.
What’s interesting about this trend is that unlike other industries with a stronghold in A.I., talent management has until recently been viewed almost exclusively as a “fuzzier” aspect of the business. It is an industry built on relationships, human connections, and emotional intelligence, and yet, it is being improved with A.I.
To be fair, up until now a majority of A.I. solutions for talent management have focused on the more tedious and error-prone tasks around candidate sourcing and evaluation (tedious + error-prone = a perfect opportunity for automation).
But there are also opportunities for A.I. to improve the post-hire aspects of the employee experience, and human-centric A.I. is the key.
As the marketing world has known for years, A.I. provides a unique opportunity for scaling a personalized experience. Why would you show me the same thing as everyone else, when I’m more likely to convert if you show me exactly what I want?
The same principles can be applied to the post-hire employee experience.
Employees have different skills sets and motivators. If my employer places me in an environment that is optimized for my skills and motivators, I’ll stay. If not, I’ll move on.
As the progression towards a digital workplace continues, companies also have more data about their human capital than ever before — who they are talking to, what they eat, when they’re online every day. WeWork is basing their business model around this data.
Human-centered A.I. can unleash this data to help talent leaders create a more personalized employee experience. It is in “fuzzier” domains like talent management where human-centered A.I. shines, not just for ethical reasons, but because it provides the best user experience.
At Cultivate, for example, we apply human-centered A.I. to personalize the leadership development experience for managers. Using digital communication data as a proxy for leadership behavior, we analyze and predict how managers’ actions are affecting their team, and offer suggestions for how to improve.
At no point do we attempt to stand in as a replacement for a manager, or a talent leader. Rather, like a real-life leadership coach, Cultivate offers tips and suggestions that a manager can choose to take, or not.
This is the kind of personal experience employees expect from their talent leaders, scaled with A.I. And it doesn’t need to stop at learning and development. A.I. also has high-potential to impact other aspects of the employee experience, from interviewing and on-boarding to performance reviews and off-boarding.
Looking Forward
There is no doubt that A.I. is changing the world — and the job market — as we know it.
Industries will be disrupted. Jobs will be lost, new jobs will be created, some jobs will never be replaced.
Ethical dilemmas will be raised. They already are.
The degree of difference between aspects of human intellect and intelligent machines will become smaller.
However, with careful consideration for A.I. design that creates a sense of partnership between humans and intelligent machines, A.I. isn’t a force to be feared in the workplace, but embraced.
作者：玛格丽特托马兹祖克
About Cultivate
Cultivate helps companies leverage their digital communication data with A.I. to extract important organizational learning and unleash leadership potential.
For more information on what we are doing at Cultivate, check out our website.
英文也比较简单理解，就不翻译了~
不一样的角度来看待科技的发展：I was wrong. Too much tech is ruining lives作者：Vivek Wadhwa
Distinguished Fellow at Carnegie Mellon University College of Enginee
Just four years ago I was a cheerleader. Social media was supposed to be the great hope for democracy. I know because I told the world so. I said in 2014 that no-one could predict where this revolution would take us. My conclusion was dusted with optimism: a better connected human race would find a way to better itself.
I was only half right: nobody could indeed have predicted where we have ended up. Yet my optimistic prognosis was utterly misguided. Social media has led to less human interaction, not more. It has suppressed human development, not stimulated it. As Big Tech has marched onward, we have regressed.
Look at the evidence. Research shows that social media may well be making many of us unhappy, jealous and – paradoxically – antisocial. Even Facebook gets it. An academic study that Facebook cited in its corporate blog post revealed that when people spend a lot of time passively consuming information they wind up feeling worse. Just ten minutes on Facebook is enough to depress – clicking and liking a multitude of posts and links seems to have a negative effect on mental health.
Meantime, the green-eyed monster thrives on the social network: reading rosy stories and/or carefully controlled images about the social- and love-lives of others leads to poor comparisons with one’s own existence. Getting out in the warts-and-all real world and having proper conversations would provide a powerful antidote. Some chance! Humans have convinced themselves that ‘catching up’ online is a viable alternative to in-person socializing.
And what of consumer choice? Don’t book your next city break via Google. Research shows that a typical search for a family vacation begins with “the best hotels in…” or the “top ten hotels in…”. Yet these searches return paid-for links from big identikit hotel companies and well-funded broker websites. Local bloggers, like the guy in Jaipur or the girl in Paris who make it their job to suggest the most interesting stays, don’t appear until search page ten (AKA nowhere). Discovering real places, recommended by locals and run by real people, got a lot harder in the internet age. Guidebooks used to do the job, but few buy them anymore.
We are becoming unthinkingly reliant – addicted – to ease-of-use at the expense of quality. We are walking dumpsters for internet content that we don’t need and which might actively damage our brains.
The technology industry also uses another technique to keep us hooked: feeding us a bottomless pit of information.
This phenomenon’ is the effect Netflix has when it auto-plays the next episode of a show after a cliffhanger and you continue watching, thinking, “I can make up the sleep over the weekend.” The cliffhanger is, of course, always replaced by another cliffhanger. The 13-part season is followed by another one, and yet another. We spend longer in front of the television yet we feel no more satiated. When Facebook, Instagram and Twitter tack on their scrolling pages and update their news feeds, causing each article to roll into the next, the effect manifests itself again.
Perhaps we should go back to our smartphones and, instead of playing Netflix or sending texts on WhatsApp, use their core function. Call up our friends and family and have a chat or – better – arrange to meet them.
Meanwhile, Big Tech could carve an opportunity from a crisis. What about offering a subscription to an ad-free Google? In return for a monthly fee, searches would be based on quality of content rather than product placement. I would pay for that. The time-savings alone when booking a trip would be worth it.
Apple pioneered the Do Not Disturb function which stopped messages and calls waking us from sleep, unless a set of emergency-criteria were met by the caller. How about a Focus Mode that turned off all notifications and hid our apps from our home screen, to ease the temptation to play with our phones when we should be concentrating on our work, or talking to our spouses, friends and colleagues?
In the 1980s, the BBC in Britain ran a successful children’s series called Why Don’t You? that implored viewers to “turn off their TV set and go out and do something less boring instead”, suggesting sociable activities that did not involve a screen. It was wise before its time. The TV seems like a puny adversary compared to the deadening digital army we face today.
This is based on my forthcoming book, Your Happiness Was Hacked, which will show you how you can take control and live a more balanced technology life.
You can pre-order the book, coauthored with Alex Salkever: https://www.amazon.com/Your-Happiness-Was-Hacked-Brain/dp/1523095849
人才招聘AI巨头入场：Google前搜索专家成立Eightfold.ai公司，获得超过80多个专利，2400多万美金的投资
Google前搜索专家Ashutosh Garg，联合Facebook新闻推送团队的Varun Kacholia，共同成立Eightfold.ai公司，致力于融合检索与人工智能技术，变革人力资源行业。团队声称拥有80多个专利，已获得Lightspeed Ventures和Foundation Capital超过2400万美金的投资。
Eightfold (fka VolkScience)是行业的第一个人才智能平台，为企业建立，以整体的方式处理人才的获取和管理。
平台上有三大支柱:
*首先，我们相信人是每个企业最大的资产，我们想把他们放在中心。
我们将企业内所有人的数据(从申请人到校友)聚集在一起，这些数据目前被广泛应用于许多不同的解决方案中。这成为每个企业最丰富、最全面的人才网络。
第二，我们使用数据来提供人们能够做什么，而不是他们过去做过什么。这使得企业能够更有效地将人们与合适的机会匹配起来。
最后，利用AI平台不断从企业和个人的表现中学习，预测未来的角色、表现和职业选择。
Eightfold.ai已经拥有超过100名客户在不同行业中使用其工具。 据一份声明称，其软件迄今处理了超过2000万个应用程序，其客户响应率比行业平均水平提高了700％，同时将筛选成本和时间减少了90％。
Eightfold (fka VolkScience) is industry’s first Talent Intelligence Platform, built for enterprises, to address Talent Acquisition and Management in a holistic fashion. Platform is built with three pillars in mind:
* First, we believe that people are every enterprise’s greatest asset, and we want to put them at the center. We aggregate all people data within an enterprise - from applicants to alumni - which is currently siloed across many different point solutions. This becomes the richest & most comprehensive Talent Network for each enterprise.
* Second, we use data to provide intelligence on what people are capable of doing instead of just what they have done in the past. This allows enterprises to more effectively match people to the right opportunities.
* Finally, using AI the platform continuously learns from enterprise and individual performance to predict future roles, performance and career alternatives.
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2018年04月18日
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自动化背调公司Checkr宣布获得1亿美金的C轮融资，扩大行业，加强技术投入
图为搬入旧金山的新office
Checkr 今天官方宣布已经筹集了1亿美元的C系列基金，由T. Rowe Price Associates公司管理的基金和账户，以及现有投资者Accel和Y Combinator的参与。这对我们来说是一个重要的里程碑，我们很高兴能把这些资金投入到帮助我们的客户更快地雇佣更多的人上。
自成立以来，我们一直致力于提供快速、无偏见的背景调查，同时通过公平的机会为7000万有犯罪记录的美国人争取更公平的未来。
现在，四年来，我们每月为一万多名客户进行一百万次的背景调查，并帮助这些公司雇佣了数百万人。
扩大客户进入新行业。
通过这种投资，我们正在加快向企业部门(包括人员和零售)的扩张，以帮助这些高规模的招聘行业在当今日益增长的灵活劳动力市场中展开竞争，在这些领域，招聘速度至关重要。
我们很高兴能帮助Adecco和Allstate和rideshare leader Lyft这样的公司，使他们在新工作领域的筛选实践更加现代化，为他们的招聘带来速度、透明度和公平性，最终为员工创造更美好的未来。这只是最近三家公司加入成千上万人的例子，他们依靠我们的背景调查平台来支持他们的招聘需求。
提升我们的技术和团队。
今天的资金也将允许我们扩展我们的背景检查技术，在我们的核心平台中进一步发挥人工智能和机器学习的作用，以提高我们的客户的速度、数据洞察力和准确性。
为了帮助我们实现这些目标，我们将在2018年将员工人数增加一倍。我们将通过工程和产品招聘，帮助扩大我们的平台、销售和合规，以推动我们的企业增长，以及其他许多业务。作为我们团队成长的一部分，我们也力争在年底前实现在Checkr上实现5%的招聘目标。
更多的未来
在Checkr的核心，我们致力于为员工建立和支持一个更美好的未来，让被忽视的员工有公平的就业机会，并为公司提供寻找最佳人选的洞察力。有了这笔资金，我们将能够继续这个使命，并帮助塑造这个新的工作世界的未来。
虽然这是令人惊奇的四年，但我们才刚开始。我们迫不及待地想分享下一个。
We’ve Raised $100 Million to Help More Companies Accelerate Hiring
We are thrilled to announce that we’ve raised $100 million in Series C funding led by funds and accounts managed by T. Rowe Price Associates, Inc. with participation from existing investors Accel and Y Combinator. This is an important milestone for us, and we’re excited to put these funds to work to help our customers hire great people faster.
Since founding Checkr, we’ve been focused on providing fast, unbiased background checks, while championing a fairer future through fair chance hiring for the 70 million Americans with a criminal record. Now, four years laters, we’re running one million background checks per month for more than 10,000 customers and have helped these companies hire millions of people.
Broadening customer reach into new industries
With this investment, we’re accelerating our expansion into enterprise sectors, including staffing and retail, to help these high volume hiring industries compete in today’s growing landscape of flexible workers, where speed to hire is critical.
We’re excited to help companies like Adecco and Allstate and rideshare leader Lyft, modernize their screening practices for the new world of work, bringing speed, transparency and fairness to their hiring - and, ultimately, a better future for workers. These are just three recent examples of companies joining the ranks of thousands of others who rely on our background check platform to support their hiring needs.
Boosting our technology and our team
Today’s funding will also allow us to expand our background check technology, furthering the roles of artificial intelligence and machine learning within our core platform to increase speed, data insights and accuracy for our customers.
To help us achieve these goals, we will nearly double our employee headcount in 2018. We’ll be hiring across engineering and product to help expand our platform, sales and compliance to drive our enterprise growth, and many others. As part of our team growth, we are also striving to hit a five percent fair chance hiring goal at Checkr by the end of the year.
Even more to come
At the core of Checkr, we are deeply committed to building and supporting a better future for workers by allowing the overlooked to have a fair chance at employment and providing companies with the insights to find the best candidates for the job. With this funding, we’ll be able to continue this mission and help shape the future of this new world of work.
While it’s been an amazing four years, we’re just getting started. We can’t wait to share what’s next.
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