racist ai
Facebook is very sorry that we keep noticing its racist AI
Did you know Neural is taking the stage this fall? Together with an amazing line-up of experts, we will explore the future of AI during TNW Conference 2021. This time, users watching a video of a Black man were asked it they were interested in more content on "primates." As we have said, while we have made improvements to our AI, we know it's not perfect, and we have more progress to make. We apologize to anyone who may have seen these offensive recommendations.
How to make a racist AI without really trying
Sentiment analysis is a very frequently-implemented task in NLP, and it's no surprise. Recognizing whether people are expressing positive or negative opinions about things has obvious business applications. It's used in social media monitoring, customer feedback, and even automatic stock trading (leading to bots that buy Berkshire Hathaway when Anne Hathaway gets a good movie review). It's simplistic, sometimes too simplistic, but it's one of the easiest ways to get measurable results from NLP. In a few steps, you can put text in one end and get positive and negative scores out the other, and you never have to figure out what you should do with a parse tree or a graph of entities or any difficult representation like that.