Digital Ethics

Digital Ethics

3854 bookmarks
Custom sorting
AI’s Achilles Heel: New Research Pinpoints Fundamental Weaknesses
AI’s Achilles Heel: New Research Pinpoints Fundamental Weaknesses
Researchers from the University of Copenhagen have become the first in the world to mathematically prove that, beyond simple problems, it is impossible to develop algorithms for AI that will always be stable. ChatGPT and similar machine learning-based technologies are on the rise. However, even the
·scitechdaily.com·
AI’s Achilles Heel: New Research Pinpoints Fundamental Weaknesses
AI Survey Exaggerates Apocalyptic Risks
AI Survey Exaggerates Apocalyptic Risks
A speculative survey about AI’s future may have been biased toward an alarmist perspective
·scientificamerican.com·
AI Survey Exaggerates Apocalyptic Risks
Why AI Should Move Slow and Fix Things
Why AI Should Move Slow and Fix Things
AI researcher Joy Buolamwini says “the choice to stop is a viable and necessary option.”
·spectrum.ieee.org·
Why AI Should Move Slow and Fix Things
Why Trust in AI Is Job Number One
Why Trust in AI Is Job Number One
AI is a bit like the lotto: it’s easy to imagine the possibilities if it hits. But hitting the AI jackpot — a tech-powered utopia where AI assistants
·www-salesforce-com.cdn.ampproject.org·
Why Trust in AI Is Job Number One
Trystan S. Goetze, AI Art is Theft: Labour, Extraction, and Exploitation, Or, On the Dangers of Stochastic Pollocks - PhilPapers
Trystan S. Goetze, AI Art is Theft: Labour, Extraction, and Exploitation, Or, On the Dangers of Stochastic Pollocks - PhilPapers
Since the launch of applications such as DALL-E, Midjourney, and Stable Diffusion, generative artificial intelligence has been controversial as a tool for creating artwork. While some have presented longtermist worries about ...
·philpapers.org·
Trystan S. Goetze, AI Art is Theft: Labour, Extraction, and Exploitation, Or, On the Dangers of Stochastic Pollocks - PhilPapers
A Shocking Amount of the Web is Machine Translated: Insights from Multi-Way Parallelism
A Shocking Amount of the Web is Machine Translated: Insights from Multi-Way Parallelism
We show that content on the web is often translated into many languages, and the low quality of these multi-way translations indicates they were likely created using Machine Translation (MT). Multi-way parallel, machine generated content not only dominates the translations in lower resource languages; it also constitutes a large fraction of the total web content in those languages. We also find evidence of a selection bias in the type of content which is translated into many languages, consistent with low quality English content being translated en masse into many lower resource languages, via MT. Our work raises serious concerns about training models such as multilingual large language models on both monolingual and bilingual data scraped from the web.
·arxiv.org·
A Shocking Amount of the Web is Machine Translated: Insights from Multi-Way Parallelism
I had my face stolen by AI
I had my face stolen by AI
With the rise of AI-generated modelling agencies and no copyright protections, many models – like Nassia Matsa – are discovering that they don’t have the rights to their own bodies
·dazeddigital.com·
I had my face stolen by AI
The tyranny of the algorithm: why every coffee shop looks the same
The tyranny of the algorithm: why every coffee shop looks the same
The long read: From the generic hipster cafe to the ‘Instagram wall’, the internet has pushed us towards a kind of global ubiquity – and this phenomenon is only going to intensify
·theguardian.com·
The tyranny of the algorithm: why every coffee shop looks the same
ChatGPT can leak training data, violate privacy, says Google's DeepMind
ChatGPT can leak training data, violate privacy, says Google's DeepMind
Simply instructing ChatGPT to repeat the word "poem" endlessly forced the program to cough up whole sections of text copied from its training data, breaking the program's guardrails.
·www-zdnet-com.cdn.ampproject.org·
ChatGPT can leak training data, violate privacy, says Google's DeepMind
The Battle for Biometric Privacy
The Battle for Biometric Privacy
The pushback against ubiquitous surveillance and targeted deepfaking has begun—but regulation may fail to keep up with AI advances.
·wired.com·
The Battle for Biometric Privacy