India's largest platform and marketplace for GCC & AI leaders and professionals

Sign in

India's largest platform and marketplace for GCC & AI leaders and 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

  • Practical insights and best practices for Fine Tuned LLM based use cases for Governed Enterprises

    Featured Article: Author: Aditya Khandekar, President, Corridor Platforms India Objective There has been a lot of hype around Large Language Models (LLM) and their potential, but harnessing them to build real-world enterprise grade use cases is hard. This blog highlights key best practices and insights for building LLM powered use cases with a working example. […]

  • A Framework for Analytics & AI Value Realization

    We’re living in times of a great data paradox. One side of the paradox is the explosive growth of data in and around us. Here are some facts reported in IDC’s Global Data Sphere to corroborate this: – 59 Zettabytes – total volume of data processed in the year 2020– 26% CAGR – the forecasted […]

  • AI revolution in SMB-Challenges and Way Forward

    Featured Article: Author: Raj Sadasivam, Jana Analysis As most of us would agree, we are on the cusp of the third major revolution in the history of mankind. The invention of letter press in the 15th century by Gutenberg was the first and the internet revolution in the 1990s being the second. Now the world […]

  • Data Governance: Three trends in 2021

    In 2021, the focus of financial services will be inclined to enable digital customer journeys as well as to sustain and grow revenue streams.   Actively governing data will make managing it more formalized thus making it more available, less complex to understand, and protect the customers’ data rights. Three principles and associated formalized dimensions […]