Ethics, Equity, Inclusion
How can AI be designed to ensure fairness, transparency, and inclusivity?
Can AI Hold Consistent Values? Stanford Researchers Probe LLM Consistency and Bias
New research tests large language models for consistency across diverse topics, revealing that while they handle neutral topics reliably, controversial issues lead to varied answers.
New research tests large language models for consistency across diverse topics, revealing that while they handle neutral topics reliably, controversial issues lead to varied answers.
HAI believes that all researchers and funding agencies have a responsibility to mitigate potential long-term harms from their research. HAI provides select examples, on-the-ground experiences, and perspectives from devising and administering an ethical reflection process for research. While HAI believes that ethical reflection can be integrated into any grantmaking process, the exact process can and should be tailored to the needs of the institution.
HAI believes that all researchers and funding agencies have a responsibility to mitigate potential long-term harms from their research. HAI provides select examples, on-the-ground experiences, and perspectives from devising and administering an ethical reflection process for research. While HAI believes that ethical reflection can be integrated into any grantmaking process, the exact process can and should be tailored to the needs of the institution.
Intersectional Biases in Generative Language Models and Their Psychosocial Impacts
HAI Seminar with Faye-Marie Vassel & Evan Shieh
HAI Seminar with Faye-Marie Vassel & Evan Shieh
Stanford RegLab, Princeton, and the County of Santa Clara Collaborate to Use AI to Identify and Map Racial Covenants from over 5 Million Deed Records
The approach paves the way for faster and more accurate compliance with California’s anti-discrimination law.
The approach paves the way for faster and more accurate compliance with California’s anti-discrimination law.
This brief explores the complexities of accounting for race in clinical algorithms for evaluating kidney disease and the implications for tackling deep-seated health inequities.
This brief explores the complexities of accounting for race in clinical algorithms for evaluating kidney disease and the implications for tackling deep-seated health inequities.
All Work Published on Ethics, Equity, Inclusion
Can AI Hold Consistent Values? Stanford Researchers Probe LLM Consistency and Bias
New research tests large language models for consistency across diverse topics, revealing that while they handle neutral topics reliably, controversial issues lead to varied answers.
New research tests large language models for consistency across diverse topics, revealing that while they handle neutral topics reliably, controversial issues lead to varied answers.
HAI believes that all researchers and funding agencies have a responsibility to mitigate potential long-term harms from their research. HAI provides select examples, on-the-ground experiences, and perspectives from devising and administering an ethical reflection process for research. While HAI believes that ethical reflection can be integrated into any grantmaking process, the exact process can and should be tailored to the needs of the institution.
HAI believes that all researchers and funding agencies have a responsibility to mitigate potential long-term harms from their research. HAI provides select examples, on-the-ground experiences, and perspectives from devising and administering an ethical reflection process for research. While HAI believes that ethical reflection can be integrated into any grantmaking process, the exact process can and should be tailored to the needs of the institution.
Intersectional Biases in Generative Language Models and Their Psychosocial Impacts
HAI Seminar with Faye-Marie Vassel & Evan Shieh
Intersectional Biases in Generative Language Models and Their Psychosocial Impacts
HAI Seminar with Faye-Marie Vassel & Evan Shieh
Stanford RegLab, Princeton, and the County of Santa Clara Collaborate to Use AI to Identify and Map Racial Covenants from over 5 Million Deed Records
The approach paves the way for faster and more accurate compliance with California’s anti-discrimination law.
The approach paves the way for faster and more accurate compliance with California’s anti-discrimination law.
This brief explores the complexities of accounting for race in clinical algorithms for evaluating kidney disease and the implications for tackling deep-seated health inequities.
This brief explores the complexities of accounting for race in clinical algorithms for evaluating kidney disease and the implications for tackling deep-seated health inequities.
