Collection Building in Artificial Intelligence

• Ada Lovelace Institute
  https://www.adalovelaceinstitute.org/about/  
• Feminist AI
  https://www.feminist.ai/  
• In Our Image: Artificial Intelligence and the Humanities
  https://nationalhumanitiescenter.org/in-our-image-ai-humanities/  
• LGBT Tech
  https://www.lgbttech.org/
• Microsoft – Responsible AI Resources
  https://www.microsoft.com/en-us/ai/responsible-ai-resources 
• Rethinking Artificial Intelligence through Feminism - CCCB LAB
  https://lab.cccb.org/en/rethinking-artificial-intelligence-through-feminism/ 
• We Need a Feminist Approach to AI Development
  https://wiisglobal.org/we-need-a-feminist-approach-to-ai-development/  
• Why artificial intelligence design must prioritize data privacy 
  https://www.weforum.org/agenda/2022/03/designing-artificial-intelligence-for-privacy

• Are you scared yet, human? 

• Busting the myth of 'neutral' AI

• Coded Bias 

• Do you trust this computer? 

• Frontline. In the age of AI 

• Henrietta Lacks, the Tuskegee Experiment, and Ethical Data Collection 

• Nova: Computers v. Crime 

• AI and Ethics 
• AI & Society 
• AI Ethics Journal 
• Big Data & Society 
• Catalyst: Feminism, Theory, Technoscience 
• Computational Linguistics 
• Frontiers in Artificial Intelligence 
• Law, Technology and Humans 
• Memory and Cognition 
• Minds and Machines: Journal for Artificial Intelligence, Philosophy and Cognitive Science 
• Philosophy & Technology 
• Social and Cultural Studies of Robots and AI (book series, ISSN: 2523-8523) 

• Algorithmic Justice League - https://www.ajl.org/about 

• AI Robotics Ethics Society - https://www.theaires.org/ 

• AI4ALL-  https://ai-4-all.org/ 

• Black in AI - https://blackinai.github.io/#/ 

• Black in Data - https://blkindata.github.io/ 

• Blacks in Technology - https://www.blacksintechnology.net/ 

• Data and Society - https://datasociety.net/  

• Data for Black Lives - https://d4bl.org/ 

• Distributed AI Research Institute - https://www.dair-institute.org/about 

• Diversity.AI - https://diversity.ai/ 

• Ida B. Wells Just Data Lab - https://www.thejustdatalab.com/about 

• Indigenous AI - https://indigenousinai.org/ 

• LatinX in AI - https://www.latinxinai.org/ 

• People of Color in Tech - https://peopleofcolorintech.com/category/ai/ 

• Queer in AI - https://www.queerinai.com/

• Women in Machine Learning & Data Science - http://wimlds.org/ 

• Booklist

• Catalyst: Feminism, Theory, Technoscience

• Choice

• Library Journal (technology)

• College & Research Libraries 

• TechTalks Newsletter - https://bdtechtalks.com/tag/ai-book-reviews/  

Full-size poster can be viewed here - https://original-ufdc.uflib.ufl.edu/IR00011957/00001

Full Abstract: 

Artificial Intelligence, Ethics and Fairness: A Collection Development Perspective

A new initiative to establish artificial intelligence (AI) research and development at the University of Florida also aims to provide every student with a basic competency in AI regardless of their field of study. Traditionally, AI research has been grounded in STEM fields, especially computer science, robotics, and technology. Our primary challenge is to build a collection supporting the curricular and research needs of our students, faculty, and staff that branches out from STEM and into the humanities and social sciences. A second and equally important goal is to provide resources addressing issues inherent to AI, such as ethics and fairness, algorithmic bias, the gender gap, privacy concerns, and the underrepresentation of diverse groups. This poster will present a toolkit of resources, including a selected reading list of key titles, journals, websites, organizations, and other methods to develop a balanced collection in this emerging area of AI in the humanities and social sciences.