Plurality and intersectionality are concepts mentioned in two information sources relating to the multidisciplinary research agenda being established in relation to ethics and artificial intelligence. The sources worth exploring are from Oxford University and ACOLA (Australian Council of Learned Academies): A discussion of ethical challenges posed by AI, involving experts from fields across Oxford –… Continue reading Plurality, Intersectionality and AI
Category: Artificial intelligence
Responsible Operations: Deep Commitment and Social Tensions
The Responsible Operations: Data Science, Machine Learning, and AI in Libraries report authored by Thomas Padilla and published by OCLC meets the pudding test. A foundational piece of research outlining seven professional challenges to ethical approaches (and practical steps forward) to using computational methods in library practice. Committing to Responsible Operations Description and Discovery… Continue reading Responsible Operations: Deep Commitment and Social Tensions
Transparent AI. What’s the Plan?
I listened to Joanna Bryson (a scholar in computer science and ethics) speak at the Fantastic Futures conference (AI4LAM) in December last year on: Information Professionals and Intelligent Machines: Can we Save the Librarians?. Bryson draws the threads of societal change, technology and ethics together when she speaks, and in a way that I find… Continue reading Transparent AI. What’s the Plan?
World Views, Culture, Ethics and AI
My current preoccupation is looking into how and where AI fits into cultural heritage practice and humanities research. Drawing from a range of views on data and AI is paying off. This week’s mix was: An interview with Genevieve Bell from the 3AI Institute at the Australian National University by Jay Hasbrouck on Anthropology, cybernetics,… Continue reading World Views, Culture, Ethics and AI
Trust… and AI? No smoke without fire.
Trying to understand what artificial intelligence is and how machine learning works is a long game (for this library and information scientist). Linking that new technical knowledge with questions around ethics and social impact is critical, but it is hard going and also a bit unnerving. After having read some of Kate Crawford’s research over… Continue reading Trust… and AI? No smoke without fire.
Fantastic Futures: Artificial intelligence and Cultural Heritage
What is the impact of artificial intelligence on GLAM (or digital cultural heritage) collecting and practice? It is worth retracing the theme set for the plenary sessions from the 2019 Fantastic Futures conference on AI for Libraries, Archives, and Museums held at Stanford University recently to frame more detailed questions and get closer to… Continue reading Fantastic Futures: Artificial intelligence and Cultural Heritage
Why use machine learning in cultural heritage and humanities research?
Most stories start at the beginning, however this story is going to start at the end. This first post was going to be a reflection on machine learning and the use of TensorFlow – a software library used for machine learning applications like neural networks. This was to follow from attending a pre-conference workshop delivered… Continue reading Why use machine learning in cultural heritage and humanities research?