Latest Articles for Ethics In Technology

A method to reduce bias in existing deep learning models using minimal examples.

Exploring how to guide AI systems for societal benefit.

A new method aims to reduce bias in machine learning for evolving data streams.

A new approach enhances AI explanations through feasible and coherent counterfactuals.

Concerns rise over the safety of Text-to-Image models and their misuse.

Ensuring technology design respects user diversity and context.

A look at how to identify human and machine-written content.

This article examines ways to identify and challenge unfair algorithms.

A framework to improve Explainable AI methods and user trust.

Introducing a new method to enhance facial diversity in AI datasets.

New tools enhance voice recording editing and production quality.

Guidelines for researchers to use generative AI ethically and effectively.

A new method aims to enhance truthfulness in language models while maintaining accuracy.

A new approach to generate more informative captions for images.

Introducing methods to guide language models in displaying specific personality traits.

This study investigates the effectiveness of multilingual models in detecting audio deepfakes.

This article covers the importance of ethical practices in dataset management for machine learning.

AI tools show potential but face significant safety concerns for mental health support.

A deep dive into the development and implications of language models.

A study on hands-on learning with generative AI tools in primary education.

Multicalibration enhances LLM accuracy by refining confidence scores and addressing hallucinations.

A new method addresses privacy and fairness in regression models using innovative adjustments.

A method to enhance fairness in classification models for sensitive areas.

Exploring how disagreement in data labeling can provide valuable insights.

Addressing the threat of AI imitating video styles through innovative protection methods.

Examining fairness in reinforcement learning systems for ethical decision-making.

Examining the role of watermarking in AI-generated text for accountability.

This article examines the importance of intent in detecting online abuse.

Enhancing fairness in AI by involving domain experts in data generation.

A guide to ethical auditing methods for machine learning technologies.

A new method for assessing language models' alignment with human values.

A new approach to watermarking aims to enhance detection and prevent misuse of language models.

New model architectures improve machine learning through advanced feature interactions.

Examining fairness and ethics of how language models respond to users.

Examining the link between local differential privacy and fairness in ML systems.

Exploring the link between consciousness and artificial intelligence through brain research.

This study evaluates bias measurement methods using GPT-3.5-Turbo for antisemitism detection.

A look into bias challenges and new strategies in machine learning.

This article examines how attacks affect LLM safety and response generation.

This article discusses the manipulations and flaws of PD plots in AI fairness.