Principled Artificial Intelligence

Author: Jessica Fjeld, Adam Nagy; Publisher: Berkman Klein Center; Publication Year: 2020. The following paper describes and explains 9 principles of ethical data practices: Informed consent of data subjects, security of data, anonymization, transparency, diversity, bias, prominence and communication. The principles listed in this framework cover 4 essential values of ethical data practices: Fairness, benefit, openness and reliability…

Australia’s Artificial Intelligence Ethics Framework

Author: N/A; Publisher: Australian Government; Publication Year: 2022. The following guidelines provided by the Australian Government has a list of 8 items that make up their data ethics framework. These include: 1). Human, societal and environmental wellbeing, 2). Human-centered values, 3). Fairness , 4). Privacy protection and security , 5). Reliability and safety , 6). Transparency and explainability , 7). Contestability, and…

The Ethics of Psychological Artificial Intelligence: Clinical Considerations

Author: Russell Fulmer, Tonya Davis, Cori Costello, Angela Joerin; Publisher: Wiley Online Library; Publication Year: 2021. In the following article, Russell Fulmer, Tonya Davis, Cori Costello, and Angela Joerin, researchers at Northwestern University, discuss how artificial intelligence (AI) has been impacting clinical psychology practices. They cover 6 main issues when it comes to psychological AI: 1). Boundaries of Competence: People are now trying to use AI systems…

Global Data Ethics Pledge

Author: N/A; Publisher: Data4Democracy; Publication Year: 2021. The following document was created by the organization, Data4Democracy. Data4Democracy is a volunteer organization that brings together data practitioners from all over the world to work on data projects that help to improve the world, with many projects relating to social justice. The pledge was created for people who want to join the…