India's largest platform and marketplace for GCCs & AI

Sign in

India's largest platform and marketplace for GCCs & AI

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

  • Being Digital: New Age of Business Transformation

    Digital technologies have profoundly changed the ways we do business, buy, work and live. They have even altered society and continue impacting virtually all business functions and industries. It’s partially what digital business is about Today, digital business mainly is used in a context of digital transformation, disruptive technologies, holistic business optimization and integration/convergence. However, it’s […]

  • Unlocking Synergy: Combining Computer Vision, NLP, and Deep Learning for Automated Process Discovery & Process Intelligence

    Featured Article: Author: Anurag Upadhyay, Accenture Introduction: In today’s dynamic business landscape, organizations face an ever-increasing demand for efficiency, innovation, and competitiveness. To meet these challenges head-on, businesses are turning to cutting-edge technologies that can revolutionize how they understand, optimize, and manage their operations. Among these transformative technologies, the fusion of Computer Vision, Natural Language […]

  • Mental Health Startup Wysa backed by Google In Series A Round

    Wysa is artificial intelligence (AI)-driven virtual coach that combines empathetic listening with evidence-based therapeutic techniques Bengaluru-based mental health startup Wysa is looking to raise funds from Google, the company’s filings with the ministry of corporate affairs (MCA) confirm.  The filings, which contain Wysa parent Touchkin Eservices Private Limited’s articles of association (AOA), read, ‘“Series A1 […]

  • Data for AI -Optimizing AI Governance and Implementing Key Performance Indicators for Success

    Featured Article Author: Prabhu Chandrasekharan Artificial Intelligence (AI) is revolutionizing industries by driving automation, optimization, and innovation. As AI systems become more complex, establishing robust governance frameworks focused on ‘Data for AI’ is essential. This ensures data quality, security, and neutrality, leading to reliable AI outcomes. Effective AI governance hinges on several Key Performance Indicators […]