Skip to Main Content

Artificial Intelligence

AI Literacy

Artificial Intelligence Literacy at Newcastle University

This website includes a selection of links regarding AI literacy from Newcastle University.

AI Literacy Framework

This foundational AI Literacy Framework has five components.

  1. Understanding AI Concepts: This component involves developing a grasp of the basic principles and mechanics of artificial intelligence. It enables individuals to comprehend how AI systems work, including concepts like machine learning, neural networks, and data processing. Understanding AI concepts helps individuals engage with AI technologies more effectively, making informed decisions and being aware of the capabilities and limitations of AI systems.
  2. Awareness of AI Applications: This component focuses on recognising the diverse applications of AI in daily life. It involves understanding how AI is integrated into various domains, such as healthcare, education, finance, or entertainment. Being aware of AI applications allows individuals to seek out and utilise AI tools and services that can simplify tasks, enhance productivity, and improve their overall experiences within technology ecosystems.
  3. AI Affectiveness for Human Emotions: This component emphasises the understanding of how AI can recognise, interpret, and respond to human emotions. It involves recognising the impact of emotional intelligence in AI systems and how they can adapt their behavior based on human emotional cues. Understanding AI affectiveness for human emotions enables individuals to engage in more empathetic and emotionally intelligent interactions with AI technologies.
  4. AI Safety and Security: This component addresses the importance of considering the safety and security aspects of AI. It involves understanding the potential risks associated with AI systems, such as privacy breaches, algorithmic biases, or unintended consequences. Awareness of AI safety and security empowers individuals to protect their personal information, their digital footprint, advocate for responsible data practices, and make informed choices regarding the use of AI technologies.
  5. Responsible AI Usage: The final component focuses on cultivating responsible and ethical AI usage. It entails recognising the limitations, biases, and ethical AI Literacy 33 considerations involved in AI systems. Individuals with responsible AI usage understand the importance of using AI technologies ethically and discerningly, avoiding overreliance or misuse. They actively engage in promoting fairness, transparency, and accountability in AI systems, fostering a balanced and informed relationship with technology.

(Chan, 2024)

 

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Please give attribution to the University of Minnesota Crookston