What If Algorithms Helped People, Not Corporations?
Here's one use for all that harvested personal data that you might not object to. Algorithms and big data are no longer just for profit; they can bring us self-awareness and growth.
Nichol Bradford, CEO/Founder, Willow. Nichol Bradford is fascinated by human potential, and has always been interested in how technology can help individuals expand beyond their perceived mental limits to develop and transform themselves to the highest level. She spent the last decade exploring these ideas in the online game industry, serving as a senior executive with responsibility for strategy, operations and marketing for major brands that include: Activision/Blizzard, Disney, and Vivendi.
Most recently she managed the operations of Blizzard properties, including World of Warcraft, in China. Now, as the CEO of the Willow Group, Nichol is applying same skills to the realm of elevating psychological well-being. Willow is a transformative technology company focused on employing rigorous scientific research to develop training protocols, hardware and software that can produce a reliable and positive change in the human experience.
Nichol has an MBA from Wharton School of Business in Strategy, a BBA in Marketing from the University of Houston, and is a graduate of Singularity University’s Graduate Studies Program 2015. She is a fellow of the British American Project, currently serves on the board of the Project 375/Brandon Marshall Foundation for Mental Health, and is a former term member of the Council on Foreign Relations. She is the author of The Sisterhood, and an amatuer boxer.
Nichol Bradford: Your phone probably knows more about you right now than your mom, because it’s the first thing you touch in the morning, it’s the last thing you touch at night. And if it were to be able to view everything it would know who you call, how long you call, what apps you use. It has the potential to have a really good understanding of who you are and what you’re up to.
When people think about their feelings a lot of times people feel like feelings are really ephemeral or that it’s just a very sort of personal thing. Well it turns out that our feelings actually do have signals that show up in things like our heart rate variability, our galvanic skin response. And so there’s actually signal to our feelings. And so what’s starting to happen is we’re starting to have the ability to pick up the biological signals from various mental states. Stress is probably the easiest one.
And then another thing is that people feel like human psychology is very ephemeral too. Like we all like to think that we’re completely unique and special snowflakes. And while each snowflake has its own story like my mother is a different person than your m other. I grew up in a different neighborhood than you did. When you start to take the data from our digital exhaust, it actually is very, very good at predicting what we’re interested in which is also a good proxy for human psychology.
And so, you know, a good place to ask oneself is like is this science fiction or is it real would be just look at the ad tech business. So when you’re on Facebook or when you’re online the advertisers or the people who are supporting the advertisers know exactly what you stop on. They track something called scroll speed so they know what catches your eye even if you don’t click on it. And so and also there’s a lot of research that’s going into micro facial recognition making that something that advertisers can use to really see the effectiveness of their ads. We have over 100 facial expressions, only nine of which we control. And so these things are great at picking up our emotion, what we like, what we don’t like. And if you add that into a lot of data about what sites you went to, what you checked out it becomes fairly easy to create a profile of someone.
Right now a lot of these things are really just being used for advertising. But you could also use it to turn it and put it in the hands of the consumer so that they can understand themselves better. Because we aren’t actually really good often at managing ourselves or always knowing what we’re up to over time. It’s one of the reasons why behavior change is such a hard task. Like it’s actually hard to change your behavior
To take that and use that to harness that for you so you could say this is what I’d like to do, this is what I’d like to change, these are the things that I’d like to improve on. This is what I’d like to understand about myself. And to have all of that technology instead of having a use case just to sell things to you for it to be a use case for you to transform into who you want to be.
Who knows more about you than anyone else? Perhaps it’s not so much who, but what. Our intimacy with our devices has surpassed our closeness with most of our friends and family, says Nichol Bradford, and an algorithm never forgets – it will remember everything you ever typed into a search box, how you voted, when you were sick, where your scroll slowed down on a page, how quickly you clicked a picture that it mathematically knew you would like. Until now, big data like this has been used purely for profit, so that media companies can sell advertising, and e-commerce sites can move units. But that’s about to change, explains Bradford. There is tech emerging that can not only track your external behavior, wishes and desires, but read your inner biological signals and interpret micro-expressions on your face to accurately assess your psychological state. If you put this technology into the hands of individuals, not just companies, it could help us manage our habits. This technology could first show us who we really are – objectively, with none of our ego-protective denial or projection – then be a tool to change our behavior and thinking patterns for the better. Nichol Bradford is the author of The Sisterhood.
Nichol Bradford is the author of The Sisterhood.
A pragmatic approach to fixing an imbalanced system.
- Intentional or not, certain inequalities are inherent in a digital economy that is structured and controlled by a few corporations that don't represent the interests or the demographics of the majority.
- While concern and anger are valid reactions to these inequalities, UCLA professor Ramesh Srinivasan also sees it as an opportunity to take action.
- Srinivasan says that the digital economy can be reshaped to benefit the 99 percent if we protect laborers in the gig economy, get independent journalists involved with the design of algorithmic news systems, support small businesses, and find ways that groups that have been historically discriminated against can be a part of these solutions.
Is there a way for more human-centered algorithms to prevent potentially triggering interactions on social media?
- According to a 2017 study, 71% of people reported feeling better (rediscovery of self and positive emotions) about 11 weeks after a breakup. But social media complicates this healing process.
- Even if you "unfriend", block, or unfollow, social media algorithms can create upsetting encounters with your ex-partner or reminders of the relationship that once was.
- Researchers at University of Colorado Boulder suggest that a "human-centered approach" to creating algorithms can help the system better understand the complex social interactions we have with people online and prevent potentially upsetting encounters.