I believe that accountability becomes more pronounced in the era of AI. While the accountability dynamics between humans and machines may differ, humans will invariably assert that if someone had access to such advanced AI capabilities, they had the means to make more informed decisions.
Our original research into the AI market, influential companies, and key products. We aim to find signal in the noise, giving our readers a clear picture of today and an understanding of what might be possible in the future.
This 10-part series explores how Generative AI is transforming the future of work, from automation and augmentation to impacts on productivity, skills, emerging talents, and established leaders.
A growing cadre of academics, activists, technologists, lawyers, and designers are confronting biases and attempting to understand and mitigate them. The attempt to grapple with AI bias will force us to confront the biases in ourselves.
The venture industry invested more than four times as much capital in 2019 as in 2010. But while the industry invested four times the amount of capital, it only invested in twice the number of companies.
We have attempted to summarize the outputs and approach of three studies—from Oxford University (pdf), McKinsey Global Institute, and Intelligentsia.ai (our own research firm acquired by Quartz in 2017).
The results suggest that the highest earning and most powerful feel far more optimistic about automation while those in lower-paying jobs feel much less in control.
As AI pervades more of our physical world experience, AI determines how we interact and learn, offering us less experience in the physical world. At some point, things need to happen in the physical world, with in-person interaction. These are the skills that an AI won’t be able to beat us at.
