AI literacy in higher education is about recognising artificial intelligence as a transformative force across various disciplines. For scholars, educators, and students, it means being equipped with the knowledge to harness AI's potential responsibly while navigating its complexities.
There is a need for a foundational grasp of how AI systems function. Also needed is skillful application of AI in daily academic and research tasks. This could range from simple automation of mundane tasks to advance utilisation for research processes. It is about integrating AI seamlessly into educational practices and enhancing learning experiences.
There is a need for a foundational grasp of how AI systems function. Also needed is skillful application of AI in daily academic and research tasks. This could range from simple automation of mundane tasks to advance utilisation for research processes. It is about integrating AI seamlessly into educational practices and enhancing learning experiences.
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Technical Understanding
This involves understanding the basic principles of how AI works. It includes knowledge of how AI systems perceive the world, collect and process data, and make decisions or recommendations. It is about understanding aspects of AI, such as pattern recognition, machine learning, and natural language processing, as well as its limitations. For instance, recognizing that AI systems are only as good as the data they are trained on, and that they can make errors or be influenced by biases present in the training data. |
Practical Understanding
This aspect involves knowing how to interact effectively with AI systems and understanding their practical applications. It is about being able to use AI tools effectively, whether it's using a voice-activated virtual assistant or using AI-powered analytics tools for your research or work. It is also about understanding the role of AI in various sectors outside of education and how it is shaping these sectors. |
Ethical Understanding
AI is a technology with profound societal implications. An ethical comprehension of AI requires acknowledging these implications and grasping the ethical issues they bring up, including recognising how biases can be ingrained in AI systems and how they can perpetuate discriminatory practices. Understanding AI ethics also entails recognizing the privacy implications of AI, the potential for misuse, and the importance of transparency and accountability in AI systems. |
About AI OM AI
Artificial intelligence is a hot topic right now. Technological development is happening at an incredible pace, and every day AI is becoming a part of life for more and more people. To make wise decisions about this development, we need to understand what AI really is and how we can use the technology for good.
Artificiell intelligens diskuteras intensivt nu. Den tekniska utvecklingen går oerhört fort och för varje dag blir AI en del av livet för allt fler människor. För att fatta kloka beslut kring den här utvecklingen behöver vi förstå vad AI egentligen är, och hur vi kan använda tekniken på bra sätt.
PDF:n (på svenska) kan laddas ned här:
https://www.kva.se/app/uploads/2025/04/VS6_OmAI_240411.pdf?mibextid=WC7FNe
Artificial intelligence is a hot topic right now. Technological development is happening at an incredible pace, and every day AI is becoming a part of life for more and more people. To make wise decisions about this development, we need to understand what AI really is and how we can use the technology for good.
Artificiell intelligens diskuteras intensivt nu. Den tekniska utvecklingen går oerhört fort och för varje dag blir AI en del av livet för allt fler människor. För att fatta kloka beslut kring den här utvecklingen behöver vi förstå vad AI egentligen är, och hur vi kan använda tekniken på bra sätt.
PDF:n (på svenska) kan laddas ned här:
https://www.kva.se/app/uploads/2025/04/VS6_OmAI_240411.pdf?mibextid=WC7FNe