While the technology did work in some cases, we’ve also seen glaring failures. After the Christchurch shooting, for example, Facebook wasn’t able to quickly remove the video. Over the weekend, the Wall Street Journal published a new report indicating Facebook’s AI can’t identify first-person shooting videos and racist rants consistently. Plus, there was a bizarre incident where the algorithm wasn’t able to separate cockfighting and car crashes. The report noted that the firm’s AI only detects a small part of hate speech posts on the platform, and removes a few of them. In recent documents leaked by former Facebook employee Frances Haugen, the company takes action on only 3-5% of hate and 0.6% of violence and incitement content. According to a senior engineer who spoke to WSJ, the company doesn’t have and “possibly never will have a model that captures even a majority of integrity harms, particularly in sensitive areas.” Facebook has hit back at these claims through a blog post written by the VP of integrity, Guy Rosen. The post claims that the company’s AI has been able to reduce the prevalence of hate speech on the platform by 50%. Prevalence is a measure the firm uses to measure the spread of hate speech on the platform. For instance, the current percentage rate is 0.05%. That means 5 views per 10,000 come across a hate speech-related post. However, given Facebook’s massive scale, that still means many people see these posts. Rosen said that data from leaked documents is wrongfully trying to paint a picture that Facebook’s AI is inadequate in removing hate speech: Facebook spokesperson Andy Stone told WSJ that AI is just one of the ways the company aims to tackle hate speech. It also lowers the visibility of problematic posts so that fewer people see them. While the company claims its AI has improved leaps and bounds, examples like relating black people to primates keep coming up. Despite these blemishes, Facebook is bullish on using AI to fight hate speech. So that means the company needs to buckle up and make its algorithms more inclusive and effective.
