Trending AI Safety & Ethics

The most popular ai safety & ethics content from the past 3 days. Curated by AI News.

[2605.08019] Reason to Play: Behavioral and Brain Alignment Between Frontier LRMs and Human Game Learners
Ai Safety

[2605.08019] Reason to Play: Behavioral and Brain Alignment Between Frontier LRMs and Human Game Learners

Abstract page for arXiv paper 2605.08019: Reason to Play: Behavioral and Brain Alignment Between Frontier LRMs and Human Game Learners

arXiv - AI · 4 min ·
[2605.07545] Implicit Preference Alignment for Human Image Animation
Ai Safety

[2605.07545] Implicit Preference Alignment for Human Image Animation

Abstract page for arXiv paper 2605.07545: Implicit Preference Alignment for Human Image Animation

arXiv - AI · 3 min ·
[2605.07649] Operating Within the Operational Design Domain: Zero-Shot Perception with Vision-Language Models
Llms

[2605.07649] Operating Within the Operational Design Domain: Zero-Shot Perception with Vision-Language Models

Abstract page for arXiv paper 2605.07649: Operating Within the Operational Design Domain: Zero-Shot Perception with Vision-Language Models

arXiv - AI · 4 min ·
[2605.07821] Divide and Conquer: Object Co-occurrence Helps Mitigate Simplicity Bias in OOD Detection
Machine Learning

[2605.07821] Divide and Conquer: Object Co-occurrence Helps Mitigate Simplicity Bias in OOD Detection

Abstract page for arXiv paper 2605.07821: Divide and Conquer: Object Co-occurrence Helps Mitigate Simplicity Bias in OOD Detection

arXiv - AI · 4 min ·
[2510.01569] InvThink: Premortem Reasoning for Safer Language Models
Llms

[2510.01569] InvThink: Premortem Reasoning for Safer Language Models

Abstract page for arXiv paper 2510.01569: InvThink: Premortem Reasoning for Safer Language Models

arXiv - AI · 3 min ·
[2601.23143] THINKSAFE: Self-Generated Safety Alignment for Reasoning Models
Machine Learning

[2601.23143] THINKSAFE: Self-Generated Safety Alignment for Reasoning Models

Abstract page for arXiv paper 2601.23143: THINKSAFE: Self-Generated Safety Alignment for Reasoning Models

arXiv - AI · 3 min ·
[2602.00924] Supervised sparse auto-encoders for interpretable and compositional representations
Machine Learning

[2602.00924] Supervised sparse auto-encoders for interpretable and compositional representations

Abstract page for arXiv paper 2602.00924: Supervised sparse auto-encoders for interpretable and compositional representations

arXiv - AI · 3 min ·
[2407.04183] Seeing Like an AI: How LLMs Apply (and Misapply) Wikipedia Neutrality Norms
Llms

[2407.04183] Seeing Like an AI: How LLMs Apply (and Misapply) Wikipedia Neutrality Norms

Abstract page for arXiv paper 2407.04183: Seeing Like an AI: How LLMs Apply (and Misapply) Wikipedia Neutrality Norms

arXiv - AI · 4 min ·
[2511.22893] Switching-time bioprocess control with pulse-width-modulated optogenetics
Machine Learning

[2511.22893] Switching-time bioprocess control with pulse-width-modulated optogenetics

Abstract page for arXiv paper 2511.22893: Switching-time bioprocess control with pulse-width-modulated optogenetics

arXiv - AI · 4 min ·
Ai Safety

Is agentic AI governance even a computationally bounded process?

Wrt to context drifting, goal misalignment, etc. Is it possible that a Turing machine could, in theory, handle all of the known issues wr...

Reddit - Artificial Intelligence · 1 min ·
[2605.06187] In-Context Black-Box Optimization with Unreliable Feedback
Ai Safety

[2605.06187] In-Context Black-Box Optimization with Unreliable Feedback

Abstract page for arXiv paper 2605.06187: In-Context Black-Box Optimization with Unreliable Feedback

arXiv - AI · 4 min ·
Llms

AI/ML Engineer (Minimum 5 years experience required)

Job Title: AI/ML Engineer Location: Remote Company: Honovix AI Salary: $3000-$4000. Job Description: Design and implement scalable data c...

Reddit - ML Jobs · 1 min ·
[2605.07263] Resource-Element Energy Difference for Noncoherent Over-the-Air Federated Learning
Ai Safety

[2605.07263] Resource-Element Energy Difference for Noncoherent Over-the-Air Federated Learning

Abstract page for arXiv paper 2605.07263: Resource-Element Energy Difference for Noncoherent Over-the-Air Federated Learning

arXiv - AI · 4 min ·
Implementing advanced AI technologies in finance | MIT Technology Review
Ai Safety

Implementing advanced AI technologies in finance | MIT Technology Review

In finance departments that have long been defined by precision and control, AI has arrived less as a neatly managed upgrade than as a qu...

MIT Technology Review - AI · 4 min ·
[2605.07631] Inference Time Causal Probing in LLMs
Llms

[2605.07631] Inference Time Causal Probing in LLMs

Abstract page for arXiv paper 2605.07631: Inference Time Causal Probing in LLMs

arXiv - AI · 3 min ·

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