By
Debra KaufmanJanuary 3, 2020
Facebook discovered and removed hundreds of fake accounts with AI-generated profile photos tied to Epoch Media Group, the parent company of news outlet The Epoch Times and other Falun Gong-related publications. The use of artificial intelligence to generate fake photos has long been a concern among computer scientists. Although these fake photos were not the level of those created at Big Tech companies, their widespread appearance on Facebook marks another way that disinformation can invade social media platforms. Read more
By
Debra KaufmanJanuary 3, 2020
This month, Alphabet-owned YouTube will begin limiting the data it collects on children’s videos and stop showing data-driven personalized ads. Video creators will be responsible for designating their content as targeting children and will face Federal Trade Commission fines if they do not do so. The FTC also won’t allow comments or other features such as pop-ups meant to increase viewership. The new data collection limits will likely have negative financial implications for creators of free kids’ content. Read more
By
Debra KaufmanJanuary 2, 2020
A new Deloitte study, “Connectivity and Mobile Trends Survey,” found that current U.S. households own “an average of 11 connected devices, including seven with screens to view content.” Deloitte vice-chair/U.S. telecom and media and entertainment leader Kevin Westcott declared that, after AT&T, T-Mobile and Verizon roll out 5G, we’ll see “a significant increase in connected devices.” The study further found that 67 percent of consumers plan to upgrade to 5G-compatible smartphones when they become available. Read more
By
Debra KaufmanJanuary 2, 2020
The National Institute of Standards and Technology reported that most commercially available facial recognition systems — often used by police departments and federal agencies — are biased. The highest error rate involved Native American faces, but African-American and Asian faces were incorrectly identified 10 to 100 times more than Caucasian faces. The systems also had more difficulty identifying female faces and falsely identified older people up to 10 times more than middle-aged adults. Read more