Responsible AI Collection - AliAsgerTalib-AI/Responsible-AI-Repository Wiki

Welcome to the Responsible-AI-Repository Knowledge Base

#Reading Links

GAO-100 :- An Accountability Framework for Federal Agencies and Other Entities
NIST – AI RISK MANAGEMENT FRAMEWORK
Summary Analysis of Responses to the NIST Artificial Intelligence Risk Management Framework (AI RMF) – Request for Information
Taxonomy of AI Risk – Draft
An Accountability Framework for Federal Agencies and Other Entities
NIST AI Risk Management Framework
Real-World Strategies for Model Debugging
FTC Hearing #7: The Competition and Consumer Protection Issues of Algorithms, Artificial Intelligence, and Predictive Analytics
Using Artificial Intelligence and Algorithms
AI-enabled future crime
bnh.ai | a boutique law firm focused on AI and analytics
How We Analyzed the COMPAS Recidivism Algorithm
Researchers bypass airport and payment facial recognition systems using masks
BIML Interactive Machine Learning Risk Framework
Robust ML
Google Responsible AI practices
Pre-Crime Policing: How Cops Are Using Algorithms to Predict Crimes
SHADOWDRAGON: Inside the Social Media Surveillance Software that can watch your every move
Battling algorithmic bias how do we ensure algorithms treat us fairly?
Fears interviews done by robot AI ‘stop clever working-class kids getting jobs’
Duke professor wins AAAI Squirrel AI Award for pioneering socially responsible AI
Amazon Created a Hiring Tool Using A.I. It Immediately Started Discriminating Against Women.
Google Has a Striking History of Bias Against Black Girls
Moral Machine – MIT

#PrePrint/(Pre) Published Papers
Closing the AI Accountability Gap: Defining an End-to-End Framework for Internal Algorithmic Auditing
Preventing Repeated Real World AI Failures by Cataloging Incidents: The AI Incident Database
Emerging challenges in AI and the need for AI ethics education
Ethical Implications of Bias in Machine Learning
Socio-cognitive biases in folk AI ethics and risk discourse
Aligning AI With Shared Human Values
Big Data’s Disparate Impact
Algorithmic decision making and the cost of fairness
Algorithmic paranoia and the convivial alternative
MACHINE BIAS Investigating Algorithmic Injustice – PRO PUBLICA
Algorithmic Decision Making and the Cost of Fairness
Overcoming Failures of Imagination in AI Infused System Development and Deployment
Model Cards for Model Reporting
Datasheets for Datasets

#AI Law
New AI Regulations Are Coming. Is Your Organization Ready?
Authors Guild, Inc. vs Google, Inc.
The Future of AI in Law: Changing the Legal Landscape
FTC Issues New Guidance, Warning That Bias in Artificial Intelligence Could Create Potential Liability for Enforcement Actions
An EU Blow Against the Black Box and a Road Map to Compliance
Court Rules that AI Cannot Qualify As “Inventor”

#Workshops
Law and Machine Learning workshop ICML 2020
NIST : Bias in AI Workshop

#Explainable AI
AI as a Black Box: How Did You Decide That?

Artificial Intelligence Incident Database

⚠️ **GitHub.com Fallback** ⚠️