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Inside bias: Why so many companies make big hiring mistakes
Author Scott Hartley says we don't have to be afraid of the coming AI - we should put it to work for us in fighting our own biases.
In this world where we focus so much on what we’re building, how we’re building it, I think we need to take a step back and reconsider why we’re building, and really humanize our technology, really bring together diverse teams of methodologies and people and mindsets so that we can take our technology and actually apply it to the most fundamental human problems.
Today the conversation is largely about artificial intelligence, and one of the concepts that I like to discuss in the book The Fuzzie and the Techie is this concept of intelligence augmentation—so: thinking about using AI but using it in a way that’s augmenting the ability of humans.
So Paul English, who was the creator of Kayak.com, he is a techie through and through, but he also calls himself an AI realist; he’s somebody who believes in the promise of artificial intelligence, but also realizes that this is not something that tomorrow or next year or maybe perhaps in the next decade is going to completely take away from the characteristics and the qualities of what a human can provide.
And so he’s now creating a company called Lola that’s based in Boston, and Lola is sort of Kayak 2.0, where rather than trying to take the travel industry and put it online he’s actually taking travel and putting it back into the hands of travel agents, real people that are working on the phones dealing with people that are calling in to book travel.
And what he’s doing is he’s supplementing those travel agents with technology, with artificial intelligence, really “flipping the letters” and trying to use intelligence augmentation as an AI realist to sort of better the service that a travel agent can provide.
Eric Colson, who is the Chief Algorithms Officer at Stitch Fix, he uses machine learning—he uses artificial intelligence, but to augment the human stylist.
So they have 60 or 70 data scientists working on creating machine learning algorithms, but those are used to supplement the 3400, 3500 stylists who have their own propensities for delivering fashion, they have their own biases as to the geography or the age or the style preferences of somebody they might be serving clothing to.
And so the machine learning actually learns the bias of the human over time and tries to mitigate that bias by offsetting the selection of clothing that they provide at that particular stylist.
And I think that’s a really interesting example of artificial intelligence not necessarily taking away from that stylist but actually augmenting, improving, helping them perform better.
And I think that flipping the letters from AI to IA is really something that we should be thinking more about today in the context of the AI debate.
I think it starts with job requisition and writing sort of the job descriptions that we want to hire for.
And I think we are bombarded by applicants, we’re bombarded by new resumes and “data driven processes”, and so the quick answer is to use natural language processing and screen for keywords, to run things through a filter and draw out the resumes that really hit the five key words that relate to your team.
And I think what this does is it creates sort of an “inside bias,” where you’re creating and you’re bringing together people that all have sort of the same perspective, the same backgrounds, and it can really sort of create in the sense of what Daniel Kahneman, the 2006 Nobel Prize winner and behavioral economics talks about as “inside bias”.
And I think to the extent that we can think about inside/outside bias and trying to bring say 20 percent of the team from a different perspective, from a different vector, from a different methodology or background, that can really bring diversity to a team where, if you have a data science team, 80 percent of the people may make perfect sense to have them have complete backgrounds in data science—but what’s to say that 20 percent of the team shouldn’t be philosophers or psychologists or anthropologists?
And I think that sort of mentality of almost “Google 20 percent time,” thinking about it for 20 percent people time, 20 percent difference of methodology or difference of perspective.
AI doesn’t have to be scary. It can augment our intelligence, says venture capitalist and best-selling author Scott Hartley. What AI can also do is help us fight our own biases, starting with the prejudices inherent in the hiring process "algorithms".
Higher education faces challenges that are unlike any other industry. What path will ASU, and universities like ASU, take in a post-COVID world?
- Everywhere you turn, the idea that coronavirus has brought on a "new normal" is present and true. But for higher education, COVID-19 exposes a long list of pernicious old problems more than it presents new problems.
- It was widely known, yet ignored, that digital instruction must be embraced. When combined with traditional, in-person teaching, it can enhance student learning outcomes at scale.
- COVID-19 has forced institutions to understand that far too many higher education outcomes are determined by a student's family income, and in the context of COVID-19 this means that lower-income students, first-generation students and students of color will be disproportionately afflicted.
What conditions of the new normal were already appreciated widely?<p>First, we understand that higher education is unique among industries. Some industries are governed by markets. Others are run by governments. Most operate under the influence of both markets and governments. And then there's higher education. Higher education as an "industry" involves public, private, and for-profit universities operating at small, medium, large, and now massive scales. Some higher education industry actors are intense specialists; others are adept generalists. Some are fantastically wealthy; others are tragically poor. Some are embedded in large cities; others are carefully situated near farms and frontiers.</p> <p>These differences demonstrate just some of the complexities that shape higher education. Still, we understand that change in the industry is underway, and we must be active in directing it. Yet because of higher education's unique (and sometimes vexing) operational and structural conditions, many of the lessons from change management and the science of industrial transformation are only applicable in limited or highly modified ways. For evidence of this, one can look at various perspectives, including those that we have offered, on such topics as <a href="https://www.insidehighered.com/digital-learning/blogs/rethinking-higher-education/lessons-disruption" target="_blank">disruption</a>, <a href="https://www.nytimes.com/2020/02/20/education/learning/education-technology.html" target="_blank">technology management</a>, and so-called "<a href="https://www.insidehighered.com/sites/default/server_files/media/Excerpt_IHESpecialReport_Growing-Role-of-Mergers-in-Higher-Ed.pdf" target="_blank">mergers and acquisitions</a>" in higher education. In each of these spaces, the "market forces" and "market rules" for higher education are different than they are in business, or even in government. This has always been the case and it is made more obvious by COVID-19.</p> <p>Second, with so much excitement about innovation in higher education, we sometimes lose sight of the fact that students are—and should remain—the core cause for innovation. Higher education's capacity to absorb new ideas is strong. But the ideas that endure are those designed to benefit students, and therefore society. This is important to remember because not all innovations are designed with students in mind. The recent history of innovation in higher education includes several cautionary tales of what can happen when institutional interests—or worse, <a href="https://www.insidehighered.com/news/2016/02/09/apollos-new-owners-seek-fresh-start-beleaguered-company" target="_blank">shareholder</a> interests—are placed above student well-being.</p>
Photo: Getty Images<p>Third, it is abundantly apparent that universities must leverage technology to increase educational quality and access. The rapid shift to delivering an education that complies with social distancing guidelines speaks volumes about the adaptability of higher education institutions, but this transition has also posed unique difficulties for colleges and universities that had been slow to adopt digital education. The last decade has shown that online education, implemented effectively, can meet or even surpass the quality of in-person <a href="https://link-springer-com.ezproxy1.lib.asu.edu/article/10.1007/s10639-019-10027-z" target="_blank">instruction</a>.</p><p>Digital instruction, broadly defined, leverages online capabilities and integrates adaptive learning methodologies, predictive analytics, and innovations in instructional design to enable increased student engagement, personalized learning experiences, and improved learning outcomes. The ability of these technologies to transcend geographic barriers and to shrink the marginal cost of educating additional students makes them essential for delivering education at scale.</p><p>As a bonus, and it is no small thing given that they are the core cause for innovation, students embrace and enjoy digital instruction. It is their preference to learn in a format that leverages technology. This should not be a surprise; it is now how we live in all facets of life.</p><p>Still, we have only barely begun to conceive of the impact digital education will have. For example, emerging virtual and augmented reality technologies that facilitate interactive, hands-on learning will transform the way that learners acquire and apply new knowledge. Technology-enabled learning cannot replace the traditional college experience or ensure the survival of any specific college, but it can enhance student learning outcomes at scale. This has always been the case, and it is made more obvious by COVID-19.</p>
What conditions of the new normal were emerging suspicions?<p>Our collective thinking about the role of institutional or university-to-university collaboration and networking has benefitted from a new clarity in light of COVID-19. We now recognize more than ever that colleges and universities must work together to ensure that the American higher education system is resilient and sufficiently robust to meet the needs of students and their families.</p> <p>In recent weeks, various commentators have suggested that higher education will face a wave of institutional <a href="https://www.businessinsider.com/scott-galloway-predicts-colleges-will-close-due-to-pandemic-2020-5" target="_blank">closures</a> and consolidations and that large institutions with significant online instruction capacity will become dominant.</p> <p>While ASU is the largest public university in the United States by enrollment and among the most well-equipped in online education, we strongly oppose "let them fail" mindsets. The strength of American higher education relies on its institutional diversity, and on the ability of colleges and universities to meet the needs of their local communities and educate local students. The needs of learners are highly individualized, demanding a wide range of options to accommodate the aspirations and learning styles of every kind of student. Education will become less relevant and meaningful to students, and less responsive to local needs, if institutions of higher learning are allowed to fail. </p> <p>Preventing this outcome demands that colleges and universities work together to establish greater capacity for remote, distributed education. This will help institutions with fewer resources adapt to our new normal and continue to fulfill their mission of serving students, their families, and their communities. Many had suspected that collaboration and networking were preferable over letting vulnerable colleges fail. COVID-19's new normal seems to be confirming this.</p>
President Barack Obama delivers the commencement address during the Arizona State University graduation ceremony at Sun Devil Stadium May 13, 2009 in Tempe, Arizona. Over 65,000 people attended the graduation.
Photo by Joshua Lott/Getty Images<p>A second condition of the new normal that many had suspected to be true in recent years is the limited role that any one university or type of university can play as an exemplar to universities more broadly. For decades, the evolution of higher education has been shaped by the widespread imitation of a small number of elite universities. Most public research universities could benefit from replicating Berkeley or Michigan. Most small private colleges did well by replicating Williams or Swarthmore. And all universities paid close attention to Harvard, Princeton, MIT, Stanford, and Yale. It is not an exaggeration to say that the logic of replication has guided the evolution of higher education for centuries, both in the US and abroad.</p><p>Only recently have we been able to move beyond replication to new strategies of change, and COVID-19 has confirmed the legitimacy of doing so. For example, cases such as <a href="https://www.washingtonpost.com/education/2020/03/10/harvard-moves-classes-online-advises-students-stay-home-after-spring-break-response-covid-19/" target="_blank">Harvard's</a> eviction of students over the course of less than one week or <a href="https://www.nhregister.com/news/coronavirus/article/Mayor-New-Haven-asks-for-coronavirus-help-Yale-15162606.php" target="_blank">Yale's apparent reluctance</a> to work with the city of New Haven, highlight that even higher education's legacy gold standards have limits and weaknesses. We are hopeful that the new normal will include a more active and earnest recognition that we need many types of universities. We think the new normal invites us to rethink the very nature of "gold standards" for higher education.</p>
A graduate student protests MIT's rejection of some evacuation exemption requests.
Photo: Maddie Meyer/Getty Images<p>Finally, and perhaps most importantly, we had started to suspect and now understand that America's colleges and universities are among the many institutions of democracy and civil society that are, by their very design, incapable of being sufficiently responsive to the full spectrum of modern challenges and opportunities they face. Far too many higher education outcomes are determined by a student's family income, and in the context of COVID-19 this means that lower-income students, first-generation students and students of color will be disproportionately afflicted. And without new designs, we can expect postsecondary success for these same students to be as elusive in the new normal, as it was in the <a href="http://pellinstitute.org/indicators/reports_2019.shtml" target="_blank">old normal</a>. This is not just because some universities fail to sufficiently recognize and engage the promise of diversity, this is because few universities have been designed from the outset to effectively serve the unique needs of lower-income students, first-generation students and students of color.</p>
Where can the new normal take us?<p>As colleges and universities face the difficult realities of adapting to COVID-19, they also face an opportunity to rethink their operations and designs in order to respond to social needs with greater agility, adopt technology that enables education to be delivered at scale, and collaborate with each other in order to maintain the dynamism and resilience of the American higher education system.</p> <p>COVID-19 raises questions about the relevance, the quality, and the accessibility of higher education—and these are the same challenges higher education has been grappling with for years. </p> <p>ASU has been able to rapidly adapt to the present circumstances because we have spent nearly two decades not just anticipating but <em>driving</em> innovation in higher education. We have adopted a <a href="https://www.asu.edu/about/charter-mission-and-values" target="_blank">charter</a> that formalizes our definition of success in terms of "who we include and how they succeed" rather than "<a href="https://www.washingtonpost.com/opinions/2019/10/17/forget-varsity-blues-madness-lets-talk-about-students-who-cant-afford-college/" target="_blank">who we exclude</a>." We adopted an entrepreneurial <a href="https://president.asu.edu/read/higher-logic" target="_blank">operating model</a> that moves at the speed of technological and social change. We have launched initiatives such as <a href="https://www.instride.com/how-it-works/" target="_blank">InStride</a>, a platform for delivering continuing education to learners already in the workforce. We developed our own robust technological capabilities in ASU <a href="https://edplus.asu.edu/" target="_blank">EdPlus</a>, a hub for research and development in digital learning that, even before the current crisis, allowed us to serve more than 45,000 fully online students. We have also created partnerships with other forward-thinking institutions in order to mutually strengthen our capabilities for educational accessibility and quality; this includes our role in co-founding the <a href="https://theuia.org/" target="_blank">University Innovation Alliance</a>, a consortium of 11 public research universities that share data and resources to serve students at scale. </p> <p>For ASU, and universities like ASU, the "new normal" of a post-COVID world looks surprisingly like the world we already knew was necessary. Our record breaking summer 2020 <a href="https://asunow.asu.edu/20200519-sun-devil-life-summer-enrollment-sets-asu-record" target="_blank">enrollment</a> speaks to this. What COVID demonstrates is that we were already headed in the right direction and necessitates that we continue forward with new intensity and, we hope, with more partners. In fact, rather than "new normal" we might just say, it's "go time." </p>
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