Latest Articles for Ethics

Examining the reality and impacts of bias in artificial intelligence systems.

A new system encourages diverse perspectives in artificial intelligence discussions.

Examining the impact of AI-generated text on investor decisions.

This article discusses key concerns regarding the reliability of text-to-image models.

A look at how differential privacy safeguards individual data in a data-driven world.

Examining how honesty impacts the reliability of language models.

This article explores how past cases can guide future legal decisions.

A look at fairness in automated choices and their impacts.

This study examines how language models behave in financial decision-making scenarios.

A look into the trustworthiness of AI agents and ethical concerns.

Examining the impact of LLMs on research practices and ethical concerns.

Poultry farming practices raise serious ethical and health concerns.

A look at improving fairness in ICU patient survival predictions using data.

CHEER offers guidelines for clear reporting of AI tools in healthcare studies.

Examining the importance of fairness in record matching techniques.

This paper discusses creating safe, fair guidelines for AI development.

Finding common ground for AI decision-making among diverse human values.

An overview of fairness learning in AI and its implications across sectors.

This study examines values in human and AI-generated texts for better understanding.

A look into achieving fair decisions using submodular functions.

A new method for detecting deepfakes with a focus on quality.

Examining how Language Models influence communication and ethical challenges.

Examining how AI models handle ethical decisions for autonomous vehicles.

Generative AI offers creativity but poses risks to truth and trust.

A look at the ethical challenges in Natural Language Processing technology.

As deepfakes rise, the need for effective detection becomes crucial.

Examining accountability in human-AI collaborations across various fields.

Examining how language models respond to moral persuasion and ethical frameworks.

Exploring the challenges and implications of deepfake technology in today’s media landscape.

Transform your face to see how you'd look at different ages.

A look at fairness challenges in Federated Learning and the WassFFed framework.

This article examines fairness in admissions using machine learning models.

Investigating how biases affect language models and proposing new ways to measure them.

Exploring how AI shapes our thoughts and responses in daily interactions.

Examining the impact of race on health outcomes and medical practices.

An overview of deepfakes, their risks, and a new Hindi dataset.

Examining the challenges and biases of LLMs in healthcare applications.

Examining if large language models mirror cultural moral viewpoints.

Exploring if AI aligns with diverse cultural moral standards.

Learn how to identify those gaming machine learning models for unfair advantage.