A white paper exploring the use of AI in classifying misinformation.
Intended for policymakers, technologists, educators and others, this international collection of 19 short stories delves into AI’s cultural impacts with hesitation and wonder.
Here is what Mark Zuckerberg said in his testimony before a Senate Committee: He also said that while Facebook is beefing up its use of AI to spot and remove offensive content, it will be five to 10 years before the company will have tools to do this automatically. So I was correct in my phrasing in the New York Times op ed: Media companies of all kinds must accept responsibility and deploy artificial intelligence and plain old elbow grease to the task. And people of good will must play their part by calling out falsehoods and reporting those responsible. So let’s apply the elbow grease while working on the AI.
The New York Times carries a story on the wrong conclusions people jump to when they try to self-diagnose on the web. The story does not say that the findings of the study identify a market opportunity for telecenters, but I do. Apparently two percent of all web searches are health related. Given the massive number of searches devoted to Brittany Spears, Paris Hilton and other luminaries, this is a very significant number. Of the people who search the web for health matters, many want to know about symptoms they are experiencing.