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Articles by Frida Polli
"An Extra Layer of Compliance" for NYC's AEDT Law
In a previous post about New York City’s automated employment decision tools (AEDT) law in December 2022, we shared 5 questions employers should ask themselves in preparation for the NYC Bias Audit Law. As a quick update, Harver continues our own preparation to ensure that our relevant offerings are compliant with NYC’s AEDT legislation. In fact, we’re proactively going above and beyond in two ways.
We're sticking with New York
We have never believed in New York more than we do now. As business owners, founders and entrepreneurs, we have no intention of leaving. Despite some news outlets breathlessly writing about the supposed mass exodus to the suburbs, we still believe this city will continue to be the center of the universe and the country’s economic engine. We couldn’t have built our businesses without this city.
The Digital Divide
By Kevin Wheeler March 25th, 2015 HR Tech Five years ago, I mentioned Twitter in my annual Fearless Forecast where I predicted that it might be useful as a recruiting tool. But only a few could imagine saying anything useful in 140 characters. And only two years ago Facebook was considered useful for personal communication, but not for recruiting. Corporate recruiting sites were static brochures, not the interactive sites that we see today.
Building Ethical AI for Talent Management
HBR Staff/Lishakov/Unsplash Artificial intelligence has disrupted every area of our lives — from the curated shopping experiences we’ve come to expect from companies like Amazon and Alibaba to the personalized recommendations that channels like YouTube and Netflix use to market their latest content. But, when it comes to the workplace, in many ways, AI is still in its infancy. This is particularly true when we consider the ways it is beginning to change talent management.
Using AI to Eliminate Bias from Hiring
Like any new technology, artificial intelligence is capable of immensely good or bad outcomes. The public seems increasingly focused on the bad, especially when it comes to the potential for bias in AI. This concern is both well-founded and well-documented. But what is AI? It is the simulation of human processes by machines. This fear of biased AI ignores a critical fact: The deepest-rooted source of bias in AI is the human behavior it is simulating.
A résumé is the most useless document in New York business
Fall hiring season is upon us, and that means New York executives are once again facing a deluge of incoming résumés from hopeful applicants. But as HR teams, interviewers and many candidates know, most résumés go unread. And even for résumés that lead to an offer, their record of producing a successful hire is questionable at best. As a current CEO—and former entry-level employee—I have seen the wasted time and missed opportunities on both ends of the pipeline that résumés cause.
Seven very simple principles for designing more ethical AI
By Frida Polli4 minute Read No matter how powerful, all technology is neutral. Electricity can be designed to kill (the electric chair) or save lives (a home on the grid in an inhospitable climate). The same is true for artificial intelligence (AI), which is an enabling layer of technology much like electricity. AI systems have already been designed to help or hurt humans.
Diversity Tech Stack: How AI Will Make Our Workplace Fair
Fortune 500 companies are quick to declare that diversity is an important goal for their teams. However, attempts to implement quotas and unconscious bias training have not been very successful, leaving companies to lament a lack of effective solutions. The question is no longer is diversity an issue; but how do we fix the diversity issue? Companies need reliable solutions and fortunately, there are many new ways that tech can help.
AI and the Future of Work: Will Our Jobs Disappear?
“The sky is falling! The sky is falling!” Mainstream media has been consistently covering the negative discourse about AI and the future of work, with conversations often led by tech giants like Elon Musk and Bill Gates. We are living in a time that is reflective of the early 2000’s. I remember a world of hysteria and bunkers filled with food, insurance, and so on. There seems to be something missing within the argument that there will be no jobs in the future due to AI.
AI for Social Impact
When talking about algorithms, positive social impact isn’t usually the first topic of conversation. However, technology can be an incredible way to improve various social causes at scale -- and it’s already happening today. Here are a few of my favorite examples: DeepMind is leading the crowd with their research on artificial intelligence and its potential positive impact.
Predictions For Artificial Intelligence In 2018
2017 was a formative year for artificial intelligence, not just in terms of the advancement of the technology itself, but also for the evolution of our understanding of AI’s impact on our society. Here are my predictions on the two topics that will become the primary focuses of AI in 2018. Algorithms will change the way we work. When we talk about AI, often we focus on the belief that it is going to take away certain types of jobs (like cashiers or janitorial services).
Predictions for Artificial Intelligence in 2018
2017 was a formative year for artificial intelligence - not just in terms of the advancement of the technology itself, but also for the evolution of our understanding of AI’s impact on our society. Here are my predictions on the two topics that will become the primary focuses of AI in 2018. Algorithms will change the way we work When we talk about AI, often we focus on the belief that it is going to take away certain types of jobs (like cashiers or janitorial services).
The Dark Side Of Artificial Intelligence
Algorithms are incredible aids for making data-driven, efficient decisions. And as more industries uncover their predictive power, companies are increasingly turning to algorithms to make objective and comprehensive choices. However, while we often rely on technology to avoid inherent human biases, there is a dark side to algorithm-based decisions: the potential for homogenous data sets to produce biased algorithms.
AI and Corporate Responsibility: Not Just for the Tech Giants
There is an undercurrent of fear when we talk about AI; most conversations about its future paint images of a dystopian world dominated by robots taking our jobs. Leading technologists and scientists like Elon Musk and Stephen Hawking have validated these fears by warning about the potential for AI to challenge - and potentially destroy - our societal structures, laws, and culture.
Technology: Killer or Savior Of The American Dream?
The American Dream is fading. Extensive research points to increasing social inequality and grossly declining rates of social mobility. Technology has been cast as the antagonist to this, the primary killer of the American Dream and perpetuator of social inequality. However, technology itself is neutral; the effects of technology are an embodiment of the humans who create it, manifesting their intentions through their design and implementation of technology’s power.
Can AI make your company more diverse?
Many of us are at least a little scared of a future where algorithms dictate our decisions. And this fear is justified -- algorithms present the grave danger of perpetuating existing human biases and inequalities while parading around as fair. As we all know, humans have always been biased. Study after study shows that women and minorities are at a 1.5 to 2x disadvantage in hiring, promotion and other workplace processes.
How to Distinguish Potential From Pedigree When Reviewing Resumes
We’ve all been on at least one side of the table: either endlessly perfecting your resume, or scanning through a pile of seemingly identical resumes. Despite our efforts to stand out as applicants, or be equitable in our hiring practices as employers, we inevitably have biases throughout our decision making. How do we combat unconscious bias to change this? How useful are resumes actually? What are the ramifications of relying on them?
What Separates Entrepreneurs And Venture Capitalists
tl;dr: Do entrepreneurs make good VCs? Sometimes, but not always. Here’s why. Venture capitalism and entrepreneurship are deeply intertwined. Especially in Silicon Valley, professionals often move between the two careers. Successful entrepreneurs use their industry expertise to invest in other entrepreneurs, and successful VCs start companies to fill holes they see in the market through their wide industry exposure. But does a good entrepreneur also make a good VC?
How Blind Hiring Can Make Your Company More Inclusive - Mattermark
tl;dr: Diverse companies outperform non-diverse companies. Here’s one solid way to help diversify your workforce. Promoting diversity in the workplace is a widely supported cause, and one that comes with quantifiable benefits for people and businesses. Aside from promoting a fairer workplace, increasing diversity has been extensively shown to improve a company’s ROI: Diverse companies consistently outperform their non-diverse peers.
Beyond Self-Perception Stereotypes
What are the top traits of entrepreneurs? Passion. Determination. Vision. Resilience. Self-belief. Flexibility. Rule-breaking. Risk-taking. Ability to sell. However, if you look at those traits, they are all more commonly associated with men. Campaigns like #ILookLikeAnEngineer are aimed at challenging these stereotypes.
Nice To Have, Or Need To Have?
Forbes Welcome page -- Forbes is a global media company, focusing on business, investing, technology, entrepreneurship, leadership, and lifestyle.
The Rooney Rule: Why It Won't Work
The Rooney Rule: in 2003, Pittsburg Steelers chairman Dan Rooney implemented the original Rooney Rule. He mandated that every team with an opening for a head coach position interview at least one minority candidate for the role; the rule was expanded to include general managers four years later.
The Danger of the Founder Mythology
There is a myth out there that startup founders are special… very, very special. Magazine covers and articles propagate this myth. Founders are irreplaceable. Unique. No one can possibly be as irrepressibly dynamic, interesting, visionary or driven as a founder. While flattering at times, I believe this myth actually is harmful to startup success for two reasons. First, it means that a founder is forced to be everywhere, all the time. Founders are not allowed to delegate.
14 Founders On What Keeps Them Sane
Launching a successful startup is no small feat, and doing it all while maintaining your cool, well, is anybody perfect? Take a cue from 14 founders who seem to have it figured out: From strategic mind games to pint-sized self medication, here's how they're managing to stay sane.
PhD vs. MBA: Which Is More Valuable For an Entrepreneur?
I’m going to say it before you even think it. Yes, with both a PhD and MBA, I’m overeducated. People marvel (or snark, depending): “You have both a PhD and an MBA? You must really like school.” The fact of the matter is, I like learning and sometimes that involves school, but mostly it involves learning by doing. For those of you unfamiliar with what it really takes to get a PhD, a PhD in the life sciences is basically a long, poorly paid apprenticeship.
Sleepless in Silicon Alley: Being a Mom & Startup CEO
As I contemplate the 3rd cold I’ve had in 2 months, and the lack of sleep I’ve suffered recently, I think back to another time in my life: October 2005 when my daughter was born. Prior to then, I considered myself graced with a great immune system and the ability to operate with little sleep. Having a child was a reality check. I was sick almost every other weekend, bed-ridden with a massive cold. And there is no sleep deprivation quite like waking up during the night weeks or months on end.
Where Are All The Women Tech Entrepreneurs?
Marissa Mayer photographed on the Google campus in Mountainview, CA At my one-year business school reunion back in May, I pitched at the startup showcase. Of the 20 pitches, 3 were women founders. This is not a new situation. At entrepreneur events, I’m frequently one of a handful of women. Our first incubator was 85% male (I counted one day while on a Red Bull break). Again and again, these numbers make me think: where are all the women?
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