Tim Green4h ago
AI's role in warfare is increasingly unregulated, with private companies and governments locked in a tense battle over ethical boundaries. This governance vacuum risks escalating conflicts and losing human oversight of autonomous weapons.
Discover more at https://smarterarticles.co.uk/ai-goes-to-war-why-nobody-controls-the-weapons?pk_campaign=rss-feed
#HumanInTheLoop #AIinWarfare #MilitaryTech #AIethics
AI Goes to War: Why Nobody Controls the Weapons

On the evening of 26 February 2026, Anthropic CEO Dario Amodei published a statement that would fracture the relationship between Silic...

SmarterArticles
Tim Green19h ago
AI curation struggles with independence, verification, and commercial pressures amid rapid info overload. Practitioners need trusted formats that balance speed, depth, and integrity to navigate the noise effectively.
Discover more at https://dev.to/rawveg/ai-curation-is-broken-56e
#HumanInTheLoop #AICuration #InfoOverload #TechEthics
AI Curation Is Broken

Every morning, somewhere between the first coffee and the first meeting, thousands of AI...

DEV Community
Tim Green1d ago
Trust in AI is a political and institutional issue, not just a technical one. Corporate explainability often serves market interests rather than protecting citizens’ rights, allowing harm and accountability evasion. Genuine accountability and democratic transparency are essential.
Discover more at https://smarterarticles.co.uk/trust-is-not-a-feature-the-corporate-capture-of-ai-transparency?pk_campaign=rss-feed
#HumanInTheLoop #AIethics #AlgorithmicAccountability #ResponsibleAI
Trust Is Not a Feature: The Corporate Capture of AI Transparency

Somewhere between the press releases and the product demos, something went quietly wrong with explainable AI. What began as a serious a...

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Tim Green1d ago
The future of AI and knowledge work depends on adopting policies that share automation's gains and protect workers’ dignity. Historic lessons from industrial union agreements show coordinated, comprehensive intervention is essential. Will today’s policymakers act accordingly?
Discover more at https://dev.to/rawveg/the-treaty-of-detroit-for-ai-5eaj
#HumanInTheLoop #AIandWork #PolicyInnovation #LaborRights
The Treaty of Detroit for AI

The nightmares have evolved. Once, workers feared the factory floor going silent as machines hummed...

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Tim Green2d ago
AI advances at unprecedented speed, but governance remains slow and fragmented. The article explores regulatory gaps and proposes adaptive, real-time frameworks to keep pace with rapid innovation and global challenges.
Discover more at https://smarterarticles.co.uk/the-governance-crisis-ai-moves-in-weeks-laws-take-years?pk_campaign=rss-feed
#HumanInTheLoop #AIRegulation #TechPolicy #AIInnovation
The Governance Crisis: AI Moves in Weeks, Laws Take Years

In the twenty-five days between 17 November and 11 December 2025, four separate companies released what each called its most powerful a...

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Tim Green2d ago
AI personalisation is transforming fashion and beauty industries, boosting engagement and conversions through augmented reality, generative AI, and conversational assistants. Trust and privacy remain critical as biases and data issues surface.
Discover more at https://dev.to/rawveg/ai-personalisation-reshapes-fashion-3hkp
#HumanInTheLoop #AIFashion #DigitalTransformation #CreativeTechnology
AI Personalisation Reshapes Fashion

Stand in front of your phone camera, and within seconds, you're wearing a dozen different lipstick...

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Tim Green3d ago
Balancing transparency in AI content moderation is a complex challenge: explaining decisions helps accountability but can aid bad actors. As regulations tighten, platforms must find ways to explain at scale without compromising security.
Discover more at https://smarterarticles.co.uk/the-transparency-trap-when-explaining-ai-moderation-helps-bad-actors?pk_campaign=rss-feed
#HumanInTheLoop #AIinContentModeration #RegulatoryTech #TrustAndSafety
The Transparency Trap: When Explaining AI Moderation Helps Bad Actors

Every second, an unfathomable volume of content floods the world's largest social media platforms. TikTok videos, Instagram Reels, YouT...

SmarterArticles
Tim Green3d ago
AI creates convincing synthetic celebrity faces that humans find more trustworthy than real images, driven by how generative models learn patterns rather than memorise photos. This raises urgent legal, ethical, and technical challenges in authentication and regulation.
Discover more at https://dev.to/rawveg/fake-faces-we-trust-more-4o66
#HumanInTheLoop #AIinMedia #DeepfakeProtection #DigitalTrust
Fake Faces We Trust More

When you ask an AI image generator to show you a celebrity, something peculiar happens. Instead of...

DEV Community
Tim Green4d ago
AI confession signals are making strides in identifying and mitigating hallucinations, but challenges remain with calibration, deception, and regulatory compliance. Reliable self-awareness in models is critical for high-stakes enterprise use.
Discover more at https://dev.to/rawveg/ai-hallucinations-in-enterprise-44ae
#HumanInTheLoop #AIinEnterprise #AIregulation #ResponsibleAI
AI Hallucinations in Enterprise

On a Tuesday morning in December 2024, an artificial intelligence system did something remarkable....

DEV Community
Habr4d ago

Линтер для теологии, или Как ансамбль LLM провел статический анализ библейского текста (кейс 1 Тим. 2:15)

Можно ли использовать ансамбль LLM как статический анализатор для богословского текста? В эксперименте пять языковых моделей проверили логическую устойчивость двух competing интерпретаций 1 Тим. 2:15. Результат — не истина, а прозрачная формализация неявных допущений. Метод применим к юриспруденции, истории и техдокументации.

https://habr.com/ru/articles/1015070/

#Искусственный_интеллект #NLP #критическое_мышление #Анализ_данных #LLM #Логика #Библеистика #Humanintheloop #экзегеза #групповой_анализ_ИИ

Линтер для теологии, или Как ансамбль LLM провел статический анализ библейского текста (кейс 1 Тим. 2:15)

Дисклеймер. Эта статья не о религии. Речь пойдет о методе. Сложный богословский текст здесь выступает полигоном для проверки гипотезы: может ли ансамбль языковых моделей найти скрытые логические...

Хабр