India's largest platform for AI & Analytics leaders & professionals

Sign in

India's largest platform for AI & Analytics leaders & professionals

3AI Digital Library

Facebook is testing an AI-powered tool to Summarize News

3AI January 2, 2021

Facebook has been trying to get a foothold in the news space for many years. Last year, the company launched a dedicated section on its site called Facebook News for users in the US. It also wants to expand this program to other countries such as Brazil, Germany, and India.

According to a report from BuzzFeed News, Facebook is testing an AI-powered tool called TL;DR (Too Long; Didn’t Read) to summarize news pieces, so you don’t even have to click through to read those articles.

The report noted that the company showed off this tool in an internal meeting last night. It’s also planning to add features such as voice narration and an assistant to answer queries about an article.

At the outset, this seems like a great idea — getting a short summary of an article you don’t have time to read, right. There are already some similar tools such as the AutoTLDR bot on Reddit. However, given Facebook‘s sketchy history with news and publishers, there are many ways this could go wrong.

At best, the AI makes silly mistakes in parsing the article content, so you can’t make sense of the summary it spits out. After all, We’ve seen many incidents where bots picked out problematic portions of content from their training algorithms and spewed racist gibberish.

At worst, there’s potential to create or distribute misinformation. There are a ton of news sources on Facebook that are not known for their accuracy. If a skewed summary of those articles starts floating around, it might create more trouble.

Facebook will also need to train its algorithm to avoid taking quotes or sentences from articles out of context. A seemingly non-problematic summary could be contradicting the article or the subject and vice versa.

In the past, researchers have successfully tricked AI systems that are designed to detect toxic comments on the internet with ‘positive’ words. If the people behind propaganda operations could crack Facebook’s algorithm for summarizing articles, they could write stories in such a way that the summaries include the messages they want to spread.

Many reports have pointed out the social network’s massive misinformation problem, and a lot of it was because of poorly designed software. While Facebook’s TL;DR product is not public yet, it already sounds like it could be a disaster.

Picture from freepik.com

    3AI Trending Articles

  • Crossing the AI Adoption Chasm

    Featured Article: Author: Abhishek Tandon, Director, Customer Success for Fosfor, LTIMindtree Chapter 1: The chasm between AI outcomes and business value The message is loud and clear. AI projects are not seeing the level of adoption and ROI that was expected of them over the last decade. But there is no doubt that AI Rules. […]

  • Retail Revolution enabled by AI

    Predictive analytics has been used in retail for decades, but it’s within the last few years that advances in technology — namely artificial intelligence — have supercharged the speed, scale and cost at which it is used. This AI-powered retail personalization revolution helps retailers transition into a world where consumers are always connected, more mobile, more social, and have more choices about […]

  • Mirae Asset Launches $35 Mn Early Stage Fund For India

    The Mirae Asset Venture Opportunities Fund will have an average ticket size of $2 Mn – $4 Mn The early stage fund will back up the Mirae Asset-Naver Asia Growth Fund, which was launched in 2018 Besides its new early stage fund, Mirae Asset has invested in Ola, Bigbasket, Zomato, Shadowfax and other Indian startups […]

  • HCM Decision Making powered by Talent Sciences

    Talent Science is the business capability of using advanced data analysis techniques and predictive models to drive HCM decision making. It calls for a logical connection between decisions about people, HR program investments and strategic business outcomes. This can form a backbone of human resource function of all organizations independent of the sector in which it operates. […]