Abuse detection on Twitter: a collaboration with Amnesty International
At the NeurIPS 2018 workshop on AI for Social Good we presented a piece of work we performed in collaboration with Amnesty International. We leveraged a mixture of crowdsourcing and deep learning to study the nature and quantity of abuse suffered by prominent women on twitter. At this point quite a lot has been written about the project: if \[…\]
How intelligent are our machines?
Human intelligence is remarkably correlated across domains. Do we mistakenly generalize this when assessing machines?
The Right Energy at the Right Time
During my ASI Fellowship I worked with Origami Energy, optimizing Demand Side Response programs for industrial energy usage.
Driverless cars and the attention economy
Driverless cars aren’t just a matter of convenience: they’re liberating hours of the day you could be buying things via Google!
Seeing the science in startups
If you squint a bit, building startups and doing science look kind of similar.
Building a Burns bot #2: Making a Slackbot
Here we take the Markov-chain based Burn’s Bot we created in the previous post and turn it into a living, breathing Slackbot to deliver Burns on demand.