Latest Articles for Ethics In Technology

Language agents merge AI and decision-making for real-world tasks.

Research highlights bias in AI affecting underrepresented groups in New Zealand.

A method to remove toxic behaviors in language models while maintaining performance.

Counterfactual explanations clarify AI predictions by showing possible input changes.

A framework for measuring and improving fairness in AI systems.

A study on the impact of debiasing techniques in language models.

This research addresses bias in document retrieval systems using uncertainty estimates.

Exploring how ChatGPT is shaping learning in engineering colleges in India.

Languini Kitchen supports researchers in language modelling with fair comparisons and better datasets.

PROPLACE enhances the reliability of counterfactual explanations in machine learning.

A new method allows RL agents to change body shapes for better task adaptation.

Research on identifying AI-generated text across different models without extra training.

A look at machine unlearning to improve generative models and their outputs.

A new method combines PPO and MCTS for improved text generation.

Research highlights real-time detection methods for fake audio created by AI.

Exploring improvements in language models for handling lengthy text inputs.

Explore how Gaussian Splatting transforms text into realistic 3D models.

EFFL aims for equal model accuracy and fairness among clients in federated learning.

This article examines the role of fairness regularizers in predictive algorithms.

This article discusses smart contract vulnerabilities and a new programming approach.

This paper examines techniques to reduce hallucination in language models for better accuracy.

Exploring how language models recover and adapt after changes.

A new algorithm supports long-term fairness in machine learning decision-making.

A formal approach to identify privacy violations in quantum computing algorithms.

A new method of dubbing enhances lip syncing for better viewer experience.

A look into the safety concerns surrounding large language models.

MetaHate aims to tackle hate speech with a comprehensive dataset for research.

Research highlights the impact of smoothness on adversarial attacks in image generation.

Contrastive unlearning efficiently removes data influence while preserving model performance.

GPAvatar creates realistic 3D head avatars from images, improving expression control.

Investigating the risks of jailbreak attacks on Large Language Models.

Learn how FAIR principles guide ethical data management for AI models.

A new method ensures fairness in machine learning using incomplete causal information.

A deep dive into trustworthiness in AI and its importance.

Examining how ML practitioners implement responsible machine learning practices and the challenges they face.

A study on combining group and individual traits in natural language processing.

This research highlights challenges in aligning LLM outputs with human values.

Understanding the importance of AI auditing for fair and responsible technology use.

Examining the tradeoffs in AI language model performance and user safety.

Examining biases in predictive models for real estate pricing using geospatial data.