Some thoughts about ethics in artificial intelligence in linguistics and news
AI, undoubtedly is helping making almost everywhere in our life much better. But still, there are some critical issues related to its adoption. These days I noticed that several of Trump’s tweets had been tagged “unreal” or “fake”. And then I started to think is it possible to use big data and AI to help deal with this issue. Here is some of my thoughts.
Fake news, literally, is a made-up story with an intention to deceive, is arguably one of the most serious challenges facing the news industry today. How artificial intelligence technologies, particularly machine learning and natural language processing, might be leveraged to combat the fake news problem? We believe that these AI technologies hold promise for significantly automating parts of the procedure human fact checkers use today to determine if a story is real or a hoax. Fortunately, the process can be broken down into steps or stages.
A helpful first step towards identifying fake news is to understand what other news organizations are saying about the topic. From the English writing perspective, a body text can agree, disagree, discuss or be unrelated to the headline. But is it possible to automate this process? I searched the website, luckily there is one organization is doing this. There way is to use the Stance Detection, could serve as a useful building block in an AI-assisted fact-checking pipeline. So stage #1 of the Fake News Challenge (FNC-1) focuses on the task of Stance Detection.
Stance Detection involves estimating the relative perspective (or stance) of two pieces of text relative to a topic, claim or issue. The version of Stance Detection we have selected for FNC-1 extends the work of Ferreira & Vlachos 4. For FNC-1 we have chosen the task of estimating the stance of a body text from a news article relative to a headline. Specifically, the body text may agree, disagree, discuss or be unrelated to the headline.
In this case, AI does successfully helped dealing with the ethical matter although itself sometimes can be the problem itself.