Latest Articles for Ethics

Study shows AI affects fairness, trust, and cooperation in social interactions.

This article examines how language models can adopt ideological biases from training data.

Exploring if AI systems can be seen as conscious beings.

This study reveals biases in language models based on names related to race and gender.

This study examines face recognition systems' failures in identifying masked individuals, highlighting biases.

Examining the effects of machine learning on freedom of expression and fairness.

A new tool assesses bias in ML-based early-warning systems for better patient care.

Examining the careful use of AI in public sector agencies.

Examining the impact of diversity and access in AI development.

Model editing can amplify biases and misinformation in language models.

A look at balancing fairness and accuracy in AI decision-making.

Addressing fairness in machine learning for better statistical outcomes.

Exploring the principles and importance of ethical AI use.

This piece discusses the importance of trust in personal and social contexts.

Improving chatbot accuracy on controversial issues through diverse perspectives.

Examining how AI features affect people's moral views on harming them.

A practical approach to address ethical issues in data science teams.

An analysis of modern tactics used to influence voters in elections.

Examining the dangers and ethical concerns of synthetic speech generation.

Machine unlearning allows models to forget data, essential for data privacy compliance.

Examining public views on AI benefits, risks, and the need for diverse voices.

Examining the potential impact of ASI on society and human judgment.

Discover how language models can enhance our understanding of argument quality.

A framework for aligning actions with personal and organizational values.

Examining modafinil's role in enhancing student performance and its ethical implications.

Examining the advancements and questions surrounding human life in space.

Examining bias issues in large language models and efforts to improve equity.

Crescendo attack uses friendly conversation to manipulate AI models into harmful outputs.

This paper examines the ethical challenges of AI in mental health care.

Exploring the dual role of Generative AI in creating and detecting fake news.

Examining the challenges of privacy in face recognition technology.

Examining methods to improve facial recognition across diverse demographics.

Human oversight is crucial for safe and ethical AI use in high-stakes areas.

A look at tackling stereotypes in technology through language models.

Students reflect on using language models in ethical discussions.

Examining why granting rights to robots is problematic.

Exploring the need for explainable AI in generative systems.

Exploring how AI influences subjective choices and trust in explanations.

A novel method to ensure fairness in AI systems using historical data.

Analyzing fairness in algorithms and its legal implications.