A few articles I’ve been reading on algorithmic fairness, artificial intelligence, technology and the importance of context
Back when I was building a team of technologists for our Urban Sustainable Development Lab, I’d often say I want a group of people who’re very highly skilled, slightly angry, and want to change the world. Reading the following articles, I’ve found an objective way to express this idea: a team that understands ‘very complex technology and very complex social issues.’
Having led labs on housing, domestic violence, social isolation and community safety, I’m glad to have worked with a group of people who recognise that any insight or digital artefacts (apps, hardware etc.) produced using large volumes of data, sans context, is not the answer. We’ve had to step out of our bubble and speak to people who provide this context. In attempting to build a diverse team, I’ve had to exist outside of my comfort zone, but in the process learnt a lot from my colleagues about openness and inclusion.
I’ve seen how concepts like play, wonder and curiosity perform a vital function in engaging all age groups to produce outcomes that have a meaningful impact and are backed by a sustainable business case. Perhaps the most radical example is the work we did on understanding death and funeral practices that changed the course of our age-friendly smart city programme.
Technology Is Biased Too. How Do We Fix It?
Whether it's done consciously or subconsciously, racial discrimination continues to have a serious, measurable impact…
“Although AI decision-making is often regarded as inherently objective, the data and processes that inform it can invisibly bake inequality into systems that are intended to be equitable. Avoiding that bias requires an understanding of both very complex technology and very complex social issues.”
src: Technology Is Biased Too. How Do We Fix It?
Using AI to determine queer sexuality is misconceived and dangerous
How do we know if someone is gay? A recent Stanford University study has claimed that Artificial Intelligence (AI…
“We cannot ignore the consequences of algorithms that predict someone’s sexuality. In a world that polices and punishes people on the basis of their actual or perceived sexual identity, ignoring such things can have devastating results.”
src: Using AI to determine queer sexuality, is misconceived and dangerous
Why Vending Machines are Not Bodegas
Need deodorant? Or craving potato chips? Don't want to run to the "corner store" to get it? Well, soon enough you may…
These interactions are important, and it is perhaps one of the reasons why so many people are angry about the marketing of a dispenser-type product as corner store entity. These places are spaces of emplacement. They mediate the relationships between the people who live in the neighborhood and the overall restructuring of that neighborhood in relation to larger social and civil changes.
src: Why Vending Machines are Not Bodegas
It's time to spend less time on Facebook and actually learn something
About 10 years after TVs began to be ubiquitous in American homes, television broadcasting was a staggering financial…
Why are we finally now in what’s often called a golden age of television, with culturally influential, sophisticated shows that don’t insult our intelligence? It’s not because broadcasters stopped airing schlock. It’s because the audience is more fragmented than ever — thanks to the rise of public broadcasting and cable TV and streaming services and many other challenges to big networks. It required a flourishing of choices rather than a reliance on those huge networks to become better versions of themselves.