Apple Should Win Its Intensifying Battle With Facebook

This article was originally published in The Information. Facebook says Apple will change the internet as we know it. Good! The brewing battle over the soul of Silicon Valley has finally hit a breaking point. Apple, which sees individuals as its customers, is advancing iOS users’ privacy with the choice to opt in to ad … Apple Should Win Its...

How to design a data culture in two steps

Strong cultures are designed while weak cultures are allowed to emerge which is why a data culture that works needs to be by design.

HireVue has stopped analyzing facial expressions. What now?

Last week, HireVue, one of the major vendors of algorithmic assessment tools killed off its most controversial feature—facial expression analysis. Up until now, job seekers being screened by HireVue would have their video interview analyzed by an AI that assigns certain traits and makes predictions about likely performance, such as "dependability," "emotional intelligence" and "cognitive ability." Companies such as GE,...

Toolkit: How to de-bias your AI recruitment systems

The coronavirus crisis is accelerating the adoption of AI-powered systems to recruit, evaluate, track and onboard employees. As our societies adjust to the shock of the crisis, likely including several cycles of self-isolation over the coming months, coronavirus is accelerating several prominent future-of-work trends. One of the most important is the use of automated hiring systems.

How to get the most from data—use it to update your intuition

Humans and machines increasingly work alongside each other. As AI gets better at doing tasks faster, cheaper and more reliably than humans or as AI discovers patterns that humans can’t, more technology will be deployed to enhance or replace human work. The role of humans in an AI world is often oversimplified; humans will deal … How to get the...

A win with Amazon for AI ethics watchdogs

Amazon has faced a lot of flack for AI bias—its own internal recruitment tool (scrapped because of its sexist outputs) and the bias inherent in Rekognition, the company’s facial recognition tool. As people become more aware of AI bias, technology companies have developed tools to help data scientists debias datasets, monitor for bias outside of … A win with Amazon...

How to design culture in the age of AI

Humans are communal thinkers. Our collaborative minds have allowed us to create intelligence using the people around us. We access knowledge through our community, making us reliant on others for our understanding of the world. For this, we need to have a shared sense of purpose and intent; belonging. We experience this as culture. Our … How to design culture...

AI-readiness is an imperative at The New York Times

When The New York Times approached us and asked for us to host a session about AI for the ad team we knew we were going into an organization that had sophisticated AI already at work.

Developing an AI-ready workforce for the State of Oregon

Want to know how users might misuse technology? Try it on a teen.

We wanted to test out a new AI-specific design sprint ideas and couldn't think of a better place than a classroom full of RPA teens who were both digital natives and curious about how to design apps and AI-enabled products.

How human-machine teams will work according to Microsoft

Microsoft researchers recently published one of the most exciting advances in AI this year.

Starbucks knows technology needs to be human

When we were asked to speak to Starbucks' technology partners about AI, we wanted to leave them with one key idea; the paradox of personalization.

UX is now AX

If we want AI to increase human agency, add convenience, preserve privacy, develop trust and be more personalized, designers who understand the new rules of AX will have a huge advantage.

Why Facebook’s GIPHY acquisition is about hidden meaning

If necessity is the mother of invention, then Facebook’s AI has been on extra duty since Covid as it tries to identify and understand hidden meaning.