Close Menu
    Trending
    • STOP Building Useless ML Projects – What Actually Works
    • Credit Risk Scoring for BNPL Customers at Bati Bank | by Sumeya sirmula | Jul, 2025
    • The New Career Crisis: AI Is Breaking the Entry-Level Path for Gen Z
    • Musk’s X appoints ‘king of virality’ in bid to boost growth
    • Why Entrepreneurs Should Stop Obsessing Over Growth
    • Implementing IBCS rules in Power BI
    • What comes next for AI copyright lawsuits?
    • Why PDF Extraction Still Feels LikeHack
    AIBS News
    • Home
    • Artificial Intelligence
    • Machine Learning
    • AI Technology
    • Data Science
    • More
      • Technology
      • Business
    AIBS News
    Home»AI Technology»How AI is used to surveil workers
    AI Technology

    How AI is used to surveil workers

    Team_AIBS NewsBy Team_AIBS NewsFebruary 25, 2025No Comments6 Mins Read
    Share Facebook Twitter Pinterest LinkedIn Tumblr Reddit Telegram Email
    Share
    Facebook Twitter LinkedIn Pinterest Email


    This story initially appeared in The Algorithm, our weekly e-newsletter on AI. To get tales like this in your inbox first, sign up here.

    Opaque algorithms meant to research employee productiveness have been quickly spreading by means of our workplaces, as detailed in a new must-read piece by Rebecca Ackermann, printed Monday in MIT Expertise Assessment. 

    For the reason that pandemic, plenty of firms have adopted software program to research keystrokes or detect how a lot time staff are spending at their computer systems. The development is pushed by a suspicion that distant staff are much less productive, although that’s not broadly supported by economic research. Nonetheless, that perception is behind the efforts of Elon Musk, DOGE, and the Workplace of Personnel Administration to roll back distant work for US federal staff. 

    The deal with distant staff, although, misses one other massive a part of the story: algorithmic decision-making in industries the place folks don’t work from home. Gig staff like ride-share drivers is perhaps kicked off their platforms by an algorithm, with no technique to enchantment. Productiveness programs at Amazon warehouses dictated a tempo of labor that Amazon’s inside groups discovered would result in extra accidents, however the firm carried out them anyway, in accordance with a 2024 congressional report.

    Ackermann posits that these algorithmic instruments are much less about effectivity and extra about management, which staff have much less and fewer of. There are few legal guidelines requiring firms to supply transparency about what information goes into their productiveness fashions and the way choices are made. “Advocates say that particular person efforts to push again in opposition to or evade digital monitoring are usually not sufficient,” she writes. “The expertise is just too widespread and the stakes too excessive.”

    Productiveness instruments don’t simply monitor work, Ackermann writes. They reshape the connection between staff and people in energy. Labor teams are pushing again in opposition to that shift in energy by looking for to make the algorithms that gas administration choices extra clear. 

    The complete piece comprises a lot that shocked me in regards to the widening scope of productiveness instruments and the very restricted signifies that staff have to grasp what goes into them. Because the pursuit of effectivity beneficial properties political affect within the US, the attitudes and applied sciences that remodeled the non-public sector might now be extending to the general public sector. Federal staff are already getting ready for that shift, in accordance with a brand new story in Wired. For some clues as to what that may imply, read Rebecca Ackermann’s full story. 


    Now learn the remainder of The Algorithm

    Deeper Studying

    Microsoft introduced final week that it has made vital progress in its 20-year quest to make topological quantum bits, or qubits—a particular strategy to constructing quantum computer systems that would make them extra secure and simpler to scale up. 

    Why it issues: Quantum computer systems promise to crunch computations quicker than any typical laptop people might ever construct, which might imply quicker discovery of recent medication and scientific breakthroughs. The issue is that qubits—the unit of knowledge in quantum computing, somewhat than the standard 1s and 0s—are very, very finicky. Microsoft’s new kind of qubit is meant to make fragile quantum states simpler to keep up, however scientists exterior the mission say there’s a protracted technique to go earlier than the expertise may be proved to work as supposed. And on prime of that, some experts are asking whether or not speedy advances in making use of AI to scientific issues might negate any actual want for quantum computer systems in any respect. Read more from Rachel Courtland. 

    Bits and Bytes

    X’s AI mannequin seems to have briefly censored unflattering mentions of Trump and Musk

    Elon Musk has lengthy alleged that AI fashions suppress conservative speech. In response, he promised that his firm xAI’s AI mannequin, Grok, could be “maximally truth-seeking” (although, as we’ve identified beforehand, making issues up is just what AI does). Over final weekend, customers observed that if you happen to requested Grok about who’s the largest spreader of misinformation, the mannequin reported it was explicitly instructed to not point out Donald Trump or Elon Musk. An engineering lead at xAI mentioned an unnamed worker had made this modification, but it surely’s now been reversed. (TechCrunch)

    Determine demoed humanoid robots that may work collectively to place your groceries away

    Humanoid robots aren’t sometimes superb at working with each other. However the robotics firm Determine confirmed off two humanoids serving to one another put groceries away, one other signal that normal AI fashions for robotics are serving to them study faster than ever earlier than. Nevertheless, we’ve written about how movies that includes humanoid robots may be misleading, so take these developments with a grain of salt. (The Robot Report)

    OpenAI is shifting its allegiance from Microsoft to Softbank

    In calls with its traders, OpenAI has signaled that it’s weakening its ties to Microsoft—its largest investor—and partnering extra carefully with Softbank. The latter is now engaged on the Stargate mission, a $500 billion effort to construct information facilities that may assist the majority of the computing energy wanted for OpenAI’s bold AI plans. (The Information)

    Humane is shutting down the AI Pin and promoting its remnants to HP

    One massive debate in AI is whether or not the expertise would require its personal piece of {hardware}. Somewhat than simply conversing with AI on our telephones, will we want some kind of devoted system to speak to? Humane received investments from Sam Altman and others to construct simply that, within the type of a badge worn in your chest. However after poor evaluations and sluggish gross sales, final week the corporate introduced it will shut down. (The Verge)

    Faculties are changing counselors with chatbots

    Faculty districts, coping with a scarcity of counselors, are rolling out AI-powered “well-being companions” for college kids to textual content with. However consultants have identified the dangers of counting on these instruments and say the businesses that make them typically misrepresent their capabilities and effectiveness. (The Wall Street Journal)

    What dismantling America’s management in scientific analysis will imply

    Federal staff spoke to MIT Expertise Assessment in regards to the efforts by DOGE and others to slash funding for scientific analysis. They are saying it might result in long-lasting, maybe irreparable injury to every thing from the standard of well being care to the general public’s entry to next-generation client applied sciences. (MIT Technology Review)

    Your most necessary buyer could also be AI

    Persons are relying increasingly more on AI fashions like ChatGPT for suggestions, which suggests manufacturers are realizing they’ve to determine the way to rank larger, a lot as they do with conventional search outcomes. Doing so is a problem, since AI mannequin makers provide few insights into how they kind suggestions. (MIT Technology Review)



    Source link

    Share. Facebook Twitter Pinterest LinkedIn Tumblr Email
    Previous ArticleA Comprehensive Analysis of Claude 3.7 Sonnet: Unifying Rapid Intuition with Deep Reasoning | by Dinmay kumar Brahma | Feb, 2025
    Next Article Investors Pay Attention to This Before Even Looking at Your Business
    Team_AIBS News
    • Website

    Related Posts

    AI Technology

    What comes next for AI copyright lawsuits?

    July 1, 2025
    AI Technology

    Cloudflare will now block AI bots from crawling its clients’ websites by default

    July 1, 2025
    AI Technology

    People are using AI to ‘sit’ with them while they trip on psychedelics

    July 1, 2025
    Add A Comment
    Leave A Reply Cancel Reply

    Top Posts

    STOP Building Useless ML Projects – What Actually Works

    July 1, 2025

    I Tried Buying a Car Through Amazon: Here Are the Pros, Cons

    December 10, 2024

    Amazon and eBay to pay ‘fair share’ for e-waste recycling

    December 10, 2024

    Artificial Intelligence Concerns & Predictions For 2025

    December 10, 2024

    Barbara Corcoran: Entrepreneurs Must ‘Embrace Change’

    December 10, 2024
    Categories
    • AI Technology
    • Artificial Intelligence
    • Business
    • Data Science
    • Machine Learning
    • Technology
    Most Popular

    Futurwise: Unlock 25% Off Futurwise Today

    July 1, 2025

    Topic Modelling in Business Intelligence: FASTopic and BERTopic in Code | by Petr Korab | Jan, 2025

    January 22, 2025

    The call() method in Keras. The __call__( ) Method | by Allen Liang | Jan, 2025

    January 27, 2025
    Our Picks

    STOP Building Useless ML Projects – What Actually Works

    July 1, 2025

    Credit Risk Scoring for BNPL Customers at Bati Bank | by Sumeya sirmula | Jul, 2025

    July 1, 2025

    The New Career Crisis: AI Is Breaking the Entry-Level Path for Gen Z

    July 1, 2025
    Categories
    • AI Technology
    • Artificial Intelligence
    • Business
    • Data Science
    • Machine Learning
    • Technology
    • Privacy Policy
    • Disclaimer
    • Terms and Conditions
    • About us
    • Contact us
    Copyright © 2024 Aibsnews.comAll Rights Reserved.

    Type above and press Enter to search. Press Esc to cancel.