Close Menu
geekfence.comgeekfence.com
    What's Hot

    Just 3 in 10 Workers Believe Their Role Is Safe from AI Over the Next Decade

    July 28, 2026

    Teaching Coding When AI Can Write the Code – O’Reilly

    July 28, 2026

    FCC exempts new Starlink devices from router ban

    July 28, 2026
    Facebook X (Twitter) Instagram
    • About Us
    • Contact Us
    Facebook Instagram
    geekfence.comgeekfence.com
    • Home
    • UK Tech News
    • AI
    • Big Data
    • Cyber Security
      • Cloud Computing
      • iOS Development
    • IoT
    • Mobile
    • Software
      • Software Development
      • Software Engineering
    • Technology
      • Green Technology
      • Nanotechnology
    • Telecom
    geekfence.comgeekfence.com
    Home»Software Engineering»The Ethics of Autonomous Weapons Systems
    Software Engineering

    The Ethics of Autonomous Weapons Systems

    AdminBy AdminMay 3, 2026No Comments3 Mins Read7 Views
    Facebook Twitter Pinterest LinkedIn Telegram Tumblr Email
    The Ethics of Autonomous Weapons Systems
    Share
    Facebook Twitter LinkedIn Pinterest Email


    Artificial intelligence is transforming warfare faster than the legal and ethical frameworks designed to govern it. Militaries around the world are deploying AI-powered decision support systems to identify targets, assess proportionality, and direct weapons. The gap between what is technically possible and what international law can effectively regulate is widening by the day.

    Yuval Shany is a law professor at Hebrew University of Jerusalem and a research fellow at the Oxford Ethics in AI Institute. He also served on the UN Human Rights Committee, where he first encountered the legal and ethical challenges posed by autonomous weapons systems. His research focuses on the intersection of international humanitarian law, human rights, and emerging military technologies.

    In this episode, Yuval joins Matt Merrill for a wide-ranging conversation. They cover topics including how close we are to fully autonomous lethal weapons, the accountability gap that AI-mediated warfare creates, and what lessons software engineers can draw from these challenges when building consequential AI systems of any kind.

    Matt Merrill is a software engineering leader with over 20 years of experience building and scaling software teams across enterprise and product-focused organizations. His background is in backend development, cloud architecture, and distributed systems design. He currently architects and delivers software products and leads a team of engineers at DEPT® Agency. You can learn more about his work at code.theothermattm.com.

     

    Please click here to see the transcript of this episode.

    Sponsors

    turbopuffer is how companies like Anthropic, Cursor, Notion, Atlassian, and Ramp ship their most ambitious search features. turbopuffer is a serverless vector and full-text search engine built on object storage. It’s up to 95% cheaper than traditional search databases, and just as fast. With turbopuffer you can index and search 50 million documents at 10 millisecond p90 query latency for less than 100 dollars a month. Head to turbopuffer.com/sed to get your first month free.

    Today’s episode of Software Engineering Daily is brought to you by Unblocked.

    Your coding agents have access to your codebase, maybe you’ve even connected other tools via MCPs. But access doesn’t mean context. Agents can’t reason across MCPs, they don’t know your architectural decisions, your team’s patterns, or why the API was shaped the way it is. So agents look in the wrong place and deliver bad outputs. Then you spend time correcting—turn after turn.

    Unblocked is the context layer your agents are missing. It synthesizes your PRs, docs, Slack, and tickets into organizational context that agents actually understand – so they make better plans, write higher quality code, use fewer tokens, and require fewer correction loops.

    If you’re running Claude Code, Cursor, or any agentic workflow, Unblocked is worth a look.

    Get a free three-week trial at getunblocked.com/sedaily.

    Every AI team eventually hits the same wall. The models are solid, the infra is solid, but the data coming in is hours old because the pipeline is batch when it should be streaming and nobody’s had time to fix it. That’s not a modeling problem. That’s a pipeline problem.

    Estuary gives you CDC, batch, and streaming in one platform. 200 plus connectors, live in hours, not weeks. Your AI is only as good as your pipeline. estuary.dev



    Source link

    Share. Facebook Twitter Pinterest LinkedIn Tumblr Email

    Related Posts

    Leading Agile Initiatives That Succeed | Mountain Goat Software

    July 28, 2026

    Birgitta Boeckeler on Harness Engineering for AI Agents – Software Engineering Radio

    July 27, 2026

    Agentic DevOps at AWS – Software Engineering Daily

    July 26, 2026

    How To Reuse React Components

    July 24, 2026

    A Quality Model for Machine Learning Components

    July 22, 2026

    NanoClaw and the Rise of Personal AI Agents

    July 21, 2026
    Top Posts

    Understanding U-Net Architecture in Deep Learning

    November 25, 202567 Views

    The Next Paradigm in Efficient Inference Scaling – The Berkeley Artificial Intelligence Research Blog

    May 16, 202636 Views

    Hard-braking events as indicators of road segment crash risk

    January 14, 202634 Views
    Don't Miss

    Just 3 in 10 Workers Believe Their Role Is Safe from AI Over the Next Decade

    July 28, 2026

    Just three in ten Irish workers (30%) believe their role is safe from AI or…

    Teaching Coding When AI Can Write the Code – O’Reilly

    July 28, 2026

    FCC exempts new Starlink devices from router ban

    July 28, 2026

    Posit AI Blog: TensorFlow and Keras 2.9

    July 28, 2026
    Stay In Touch
    • Facebook
    • Instagram
    About Us

    At GeekFence, we are a team of tech-enthusiasts, industry watchers and content creators who believe that technology isn’t just about gadgets—it’s about how innovation transforms our lives, work and society. We’ve come together to build a place where readers, thinkers and industry insiders can converge to explore what’s next in tech.

    Our Picks

    Just 3 in 10 Workers Believe Their Role Is Safe from AI Over the Next Decade

    July 28, 2026

    Teaching Coding When AI Can Write the Code – O’Reilly

    July 28, 2026

    Subscribe to Updates

    Please enable JavaScript in your browser to complete this form.
    Loading
    • About Us
    • Contact Us
    • Disclaimer
    • Privacy Policy
    • Terms and Conditions
    © 2026 Geekfence.All Rigt Reserved.

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