More reading on Artifical Intelligence
About AI
- How to use AI to do practical stuff: A new guideIdeas for how AI can be useful, from March 2023.
- How does ChatGPT actually work? [ZDNet]An overview for general readers on how this generative AI chatbot works.
- What Is ChatGPT Doing … and Why Does It Work?A more in-depth look at how ChatGPT creates text.
- AI Isn’t Ready to Make Unsupervised Decisions"AI is based on algorithms that respond to models and data, and often misses the big picture and most times can’t analyze the decision with reasoning behind it. It isn’t ready to assume human qualities that emphasize empathy, ethics, and morality."
- Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy"The impact of AI could be significant, with industries ranging from: finance, healthcare, manufacturing, retail, supply chain, logistics and utilities, all potentially disrupted by the onset of AI technologies."
AI in teaching and learning
- Generative AI for Teaching and LearningInformation for Fresno State faculty from the Center for Faculty Excellence.
- Student Use Cases for AIStart by Sharing These Guidelines with Your Class
- How you should—and shouldn’t—use ChatGPT as a studentBasic guidance for students, but check with your instructor for each class.
- Can we teach digital natives digital literacy?The study showed that digital natives are not familiar with educational technologies.
- Classroom-Ready Resources About AI For Teaching (CRAFT)Resources for teaching about AI, aimed at high school students.
- Harnessing Pandora's Box: At the Intersection of Information Literacy and AILearning activities aligned with the ACRL Information Literacy Framework.
- Where does ChatGPT fit into the Framework for Information Literacy?The possibilities and problems of AI in library instruction.
- AI Chatbots Have Thoroughly Infiltrated Scientific PublishingOverview of studies that show AI-associated vocabulary is increasingly used in scholarly papers.
Syllabus policies on AI
- Syllabi Policies for AI Generative ToolsOver 100 sample syllabus policies on use of AI in coursework.
- University Policies on Generative AIPadlet collecting many university policies.
- Generative AI Syllabus Statement ToolAn interactive tool for developing syllabus statements on generative AI.
Ethical considerations around AI
- Teaching AI EthicsOutlines nine areas of ethical concern around AI.
- Behind the AI boom, an army of overseas workers in ‘digital sweatshops’"While AI is often thought of as human-free machine learning, the technology actually relies on the labor-intensive efforts of a workforce spread across much of the Global South and often subject to exploitation."
- The carbon impact of artificial intelligence"The part that artificial intelligence plays in climate change has come under scrutiny, including from tech workers themselves who joined the global climate strike last year. Much can be done by developing tools to quantify the carbon cost of machine learning models and by switching to a sustainable artificial intelligence infrastructure."
- This new data poisoning tool lets artists fight back against generative AI"A new tool lets artists add invisible changes to the pixels in their art before they upload it online so that if it’s scraped into an AI training set, it can cause the resulting model to break in chaotic and unpredictable ways."
- Why The New York Times might win its copyright lawsuit against OpenAI"Use that’s fair in a personal or academic context may not be fair if it is practiced on a commercial scale."
Unmasking AI: My mission to protect what is human in a world of machines by Call Number: Q334.7 .B86 2023ISBN: 9780593241837Publication Date: 2023-10-31"'Unmasking AI' goes beyond the headlines about existential risks produced by Big Tech. It is the remarkable story of how Buolamwini uncovered what she calls 'the coded gaze'--the evidence of encoded discrimination and exclusion in tech products--and how she galvanized the movement to prevent AI harms by founding the Algorithmic Justice League. Applying an intersectional lens to both the tech industry and the research sector, she shows how racism, sexism, colorism, and ableism can overlap and render broad swaths of humanity 'excoded' and therefore vulnerable in a world rapidly adopting AI tools."
