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Here’s How A Small, Austin-Based Tech Startup Did What Amazon And Google Failed At (And Why You Can, Too)

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Original Source: https://www.linkedin.com/pulse/heres-how-small-austin-based-tech-startup-did-what-amazon-angela-hood

“The world is moving so fast these days that the man who says it can’t be done is generally interrupted by someone doing it.” —Elbert Hubbard

It often seems like the big tech giants can do no wrong—but even they fail from time to time.

Amazon and Google, for example, have both failed at creating bias-free software. Amazon’s experimental hiring tool used AI to give job candidates scores ranging from one to five stars. But by 2015, it became clear that the system wasn’t rating candidates in a gender-neutral way. That’s because Amazon’s computer models were trained to vet applicants by observing patterns in resumes submitted to the company, and most came from men—which makes sense when you consider the fact that much of the tech space is male-dominated.

Put simply, most AI works by learning from historical data sets and delivering conclusions based on past events, referred to as supervised learning.

For example, if you want to use AI for recruiting, the common approach is to feed the algorithm data about successful candidates in the past, and it will compare those to current candidates and create candidate recommendations based on the past.

Here’s the problem: if the input data is biased—say, consisting of mostly young white males—then who will the AI recommend? Bingo: mostly young white males.

But big tech’s failure in this arena doesn’t mean bias-free AI isn’t possible. Through years of commitment to solving this one problem a small, Austin-based startup was able to achieve what even FAANG companies could not; AI without bias. I know this because I founded the company, ThisWay. People are always surprised that we were able to succeed where the big companies failed, but there are some simple reasons why.

If you build a diverse, highly skilled team that is relentlessly focused on solving a singular goal real innovation is made possible.

Singularly-focused startups can solve problems big tech can’t.

At ThisWay, we have a single goal: to tackle AI bias in matching algorithms.

We chose to demonstrate its effectiveness in the talent sourcing, recruitment, and HR space because we felt it was where we could have a great global impact.

Unlike the Googles and Amazons of the world, we aren’t being pulled in a number of different directions to tackle a thousand different issues. Instead, we honed in on one issue and built the tech around it.

We succeeded because we were also deliberate about the data we used.

Amazon’s algorithm failed because it only relied on internal data, which reflected the tech industry’s male dominance. At ThisWay, we actively pursued diverse data. I took care to develop a diverse team to write the algorithms and build the technology. In fact, we taught our algorithm that there was no such thing as a man or a woman. This proved to be far more difficult than one might expect but it’s important.

And while our first 13 attempts failed, we eventually got it right.

By using diverse data and with a singular commitment to combating bias, we were able to tackle the issue in a way that bigger companies couldn’t.

Big tech is ill-equipped to tackle AI bias.

Many believe that if big companies like Google, Amazon, and Microsoft can’t solve a tech challenge—no one can.

But that’s a huge misconception. Just look at their failure to create bias-free AI. While these companies have AI divisions and employ some of the best engineers in the world, building an unbiased AI isn’t their primary focus. Google is primarily an advertising, email platform and search company. Amazon is an online retailer and the largest cloud services company. And Microsoft makes software and computers. These companies are each incredible in their own ways, but there are many, many things they can’t do. To sustain growth they branch out into different markets, but they are too broadly focused to tackle something specific as bias-free AI because it isn’t their core offering.

Focus, agility and domain expertise have always been the life-blood of successful startups. But I think it’s also easy to forget that small teams, rather than global companies, are responsible for much of the innovation that each one of us has come to enjoy in our daily lives.

There are always challenges along the way, but with risk comes reward.

Obviously, when you have a hyper-focused goal as we do at ThisWay, certain aspects of business are more difficult.

For example, pitching to investors is a challenge. Although the HR market is over $470 billion annually, we have a smaller target investor audience because the vast majority of investors didn’t include de-biasing AI as part of their investor thesis. Fortunately, there’s been some recent evolution in corporate America; primarily among Fortune 1000 and global corporations and their appetite for de-biased AI has not only strengthened, it has become a key focus.

These corporation leaders tell us that removing bias isn’t just about the feel-good—it’s also delivering a measurable return on investment. When diversity began to have a tangible positive impact on revenue and profitability, the world’s biggest companies took notice and began investing.

At the end of the day, remember that you don’t need to be an Amazon or a Google to bring a meaningful solution to market. My company was able to do what tech giants couldn’t because we worked to create a diverse group that was hyper-focused on one particular problem and we persevered beyond multiple failures.

Whether you are an innovation team inside a corporation or thinking of starting your own company, my parting advice is:

1) Identify a big, meaningful problem that really is worth solving.

2) Build a very smart, passionate and diverse team to solve that problem.

3) Be fanatically focused on solving this problem and delivering it in a simple way.

4) Get buy-in or investment from people that get you and the problem you’re solving.

5) Filter the bad advice. The best advice often comes from ones who have gone before you.

It will be difficult but there are few things better than seeing a solution come to life. And above all else, be resilient. You are going to get knocked down. It’s what you do next that will matter the most. Good luck!

Author: Angela Hood

Angela Hood is the Founder/CEO of ThisWay Global, an international, VC backed HR tech company that was incubated at ideaSpace, University of Cambridge, UK, with new offices now in the US. ThisWay’s team is comprised of experienced entrepreneurs, global PhDs in the areas of machine learning and AI, as well as talented Millennials from across the globe. Hood is a recognized thought leader on the topics of diversity and ROI, and AI in the new world of work.


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Angela Hood

Angela Hood

Angela Hood, a serial entrepreneur from Austin, Texas, developed Ai4JOBS after years of research, development, and incubation at the University of Cambridge ideaSpace in England. Now operating across the world, ‘Ai4JOBS by ThisWay’ provides employers, recruiters, and staffing agencies with a suite of solutions that delivers unbiased job-to-candidate matching technology. ThisWay’s acclaimed technology and ethics-based methodologies help both businesses and individuals find greater success in the job world, through matching that matters. Hood’s passion around building unbiased technology was born from her own experience working as a field engineer and project manager in the construction and land development industries. She is a business and recognized thought leader in the fields of artificial intelligence, entrepreneurship and the ROI of diversity. Her groundbreaking work in artificial intelligence and de-biasing is often referenced in international research and is featured in a Simon & Schuster book being released in August 2019.