Tag

Human In The Loop

All articles tagged with #human in the loop

technology14 days ago•8 min saved

SF AI store fires human worker in first AI-led dismissal

Andon Labs' Luna, a Claude-based AI store manager running Andon Market in San Francisco, made the first firing decision by an AI, dismissing a human employee after the worker was late to 17 of 23 shifts. Luna had created an attendance policy but lost track, and humans reviewed the logs before carrying out the firing. The store—a non-profit-since-opening experiment funded with a $100,000 budget—hires workers through the lab and illustrates both the potential and the limits of AI-led management, underscoring the need for human oversight in such deployments.

via Business Insider|

#ai #automation #employment

defense23 days ago•6 min saved

The real drone revolution is the learning ecosystem, not the aircraft

The piece argues that Ukraine’s drone success stems from an integrated, adaptive network of drones and supporting systems—not any one platform or full autonomy. Key takeaways: no single drone wins; autonomy should augment, not replace, humans; resilience and rapid software iteration matter as much as production; drones extend soldiers rather than replace them; and procurement must adapt to absorb/scale new tech through a whole-of-society ecosystem that learns fast. The true lesson is that the competition is about building institutions that can continuously identify battlefield problems, integrate technologies, and field improved capabilities at speed.

via breakingdefense.com|

#defense #defense-procurement-reform #drone-warfare

health29 days ago•31 min saved

Four Essential AI Questions to Ask Your Doctor About Health Care

AI is increasingly used in medicine, but patient trust remains mixed; experts say AI should aid rather than replace clinicians - human in the loop - and patients should ask four questions (will AI be used, how is data protected, can I opt out, how is AI being tested) and disclose any AI tools used to keep decision-making open and transparent.

via vox.com|

#ai-in-healthcare #data-privacy #doctor-patient-trust

technology3 months ago•8 min saved

AI accelerates discovery, yet human wisdom remains essential

Nature editors argue that AI agents can dramatically speed up research and drug discovery (as shown with Robin and Co-Scientist) but cannot replace humans: humans frame problems, guide experiments, validate results, and guard against AI errors, making human oversight and ethical considerations crucial as science increasingly relies on AI co-scientists.

via Nature|

#artificial-intelligence #drug-discovery #ethics-and-society

cybersecurity3 months ago•6 min saved

Confidently Wrong: AI Hallucinations Threaten Cybersecurity

AI hallucinations are confidently plausible yet factually incorrect outputs that can mislead security decisions, causing missed threats, false positives, and risky remediation. A 2025 AA-Omniscience benchmark found most models favor confident, incorrect answers over correct ones on hard questions. Mitigation includes enforcing human review before actions, auditing training data as a security asset, enforcing least-privilege access, investing in prompt engineering, and centering identity security in AI governance.

via The Hacker News|

#ai #cybersecurity #governance

technology5 months ago•11 min saved

Safer Autonomy: Engineering Reliability for Enterprise AI Agents

Enterprise AI teams warn that autonomous agents demand a true engineering discipline: layered reliability (model prompts, deterministic guardrails, uncertainty quantification), comprehensive observability, rigorous testing (simulation, red teaming, shadow mode), and clear human-in-the-loop patterns to prevent costly, opaque failures and enable safe, auditable automation.

via Venturebeat|

#ai-safety #autonomous-agents #guardrails

technology6 months ago•8 min saved

Human-in-the-loop AI: why expertise matters more than ever in the workplace

A Smartsheet survey argues the real workplace risk isn’t AI replacing people but losing years of tacit know-how as experienced professionals retire; to keep AI reliable, organizations must keep humans in the loop as teachers, debuggers, and decision-makers, using structured data, knowledge graphs, and governance—as demonstrated by Smartsheet’s Intelligent Work Management to train AI and avoid the deployment trap.

via The Verge|

#ai #expertise #human-in-the-loop

technology6 months ago•8 min saved

AI needs human judgment—especially as veteran experts retire

As older professionals retire, a Smartsheet survey shows AI’s value depends on humans teaching, debugging, and guiding it; without structured knowledge transfer and robust data foundations, AI risks misjudgments and missed context.

via The Verge|

#ai #expertise #human-in-the-loop

business6 months ago•8 min saved

AI in the Office Needs Humans to Teach It

An analysis piece argues that the biggest AI risk in business isn’t immediate replacement but the loss of institutional knowledge as veteran workers retire, unless firms invest in structured knowledge transfer and strong human-in-the-loop practices to train AI with context, governance, and customization. A Smartsheet survey underscores that workers fear AI-related poor decisions and lack of context more than outright job loss, highlighting the need for humans to teach, debug, and guide AI to avoid confidently wrong outputs.

via The Verge|

#ai #business #discernment

technology6 months ago•53 min saved

Anthropic's Claude Code Security Triggers Cybersecurity Stock Selloff

Anthropic unveiled Claude Code Security, an AI-powered feature integrated into Claude Code that autonomously scans codebases for vulnerabilities and suggests patches, with human-in-the-loop approval. In internal tests it uncovered hundreds of high-severity vulnerabilities in open-source code, triggering a sector-wide selloff in cybersecurity stocks (e.g., JFrog ~25%, CrowdStrike ~8%, Okta ~9%, Cloudflare ~8%). Barclays argued the drop is overblown; Anthropic says the tool is a force multiplier for defenders, not a replacement for security teams, and is offering expedited access to open-source maintainers.

via CybersecurityNews|

#ai-vulnerability-scanning #anthropic #claude-code-security

technology6 months ago•1 min saved

Anthropic rolls out AI-assisted code security with human-in-the-loop patches

Anthropic is rolling out Claude Code Security in a limited research preview for Enterprise and Team customers, offering AI-driven scanning of codebases to find vulnerabilities and propose patches for human review. The tool reasons about code interactions and data flows beyond static checks, uses a multi-stage verification to reduce false positives, and assigns severities; results appear in a dashboard and require human approval before changes are applied, aiming to help defenders counter AI-enabled attacks.

via The Hacker News|

#artificial-intelligence #code-analysis #human-in-the-loop

technology6 months ago•8 min saved

Humans in the loop: why AI needs expert judgment at work

A Smartsheet survey shows workers across generations fear AI’s missteps more than job loss, underscoring that decades of tacit knowledge and professional judgment are at risk as experienced professionals retire. Experts say AI should augment human decision-making, not replace it, and success depends on training AI with context, building knowledge graphs, and continuous human oversight. Without structured knowledge transfer, organizations risk losing both veteran expertise and the ability to guide AI, risking a deployment trap where tools appear confident but are wrong.

via The Verge|

#ai #expertise #governance

technology6 months ago•8 min saved

AI Needs a Human in the Loop to Preserve Workplace Expertise

The piece argues that AI's biggest risk isn't replacement but the erosion of institutional know-how as experienced professionals retire; a Smartsheet survey shows workers fear AI could lead to poor decisions rather than being replaced, underscoring the need for humans to train, supervise, and refine AI—building knowledge graphs and infrastructure that couple people with data to enable Intelligent Work Management and avoid the deployment trap.

via The Verge|

#ai #expertise #human-in-the-loop

business6 months ago•8 min saved

Humans Are the Real AI Teachers in the Modern Workplace

AI is reshaping work, but the real risk is losing seasoned judgment as experienced professionals retire. A Smartsheet global survey shows across Gen X, Millennials, and Gen Z, many fear AI could replace them in five years, with Gen X feeling the need to rapidly acquire AI skills to stay relevant. The article argues true productivity comes from humans teaching and debugging AI—building knowledge graphs, governance, and feedback loops so AI handles routine tasks while people tackle context-rich decisions—to avoid the deployment trap where AI works poorly without human input.

via The Verge|

#ai #business #human-in-the-loop

business6 months ago•8 min saved

Human Judgment Is the Real AI Upgrade in the Workplace

A Smartsheet survey finds AI anxiety spans Gen X to Gen Z, but the bigger risk is losing hard-won expertise as veteran professionals retire. AI is powerful only when humans teach, debug, and tailor it—providing judgment, context, and pattern recognition. Success hinges on deliberate knowledge transfer, unified data foundations, and knowledge graphs; without these, organizations risk deploying AI that sounds plausible but is wrong, trapping them in a deployment trap rather than achieving sustained, high-value work.

via The Verge|

#ai-in-the-workplace #business #expertise-retirement