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Artificial Intelligence and Generative AI for Media & Journalism: AI Literacy Resources
Why is AI literacy important?
AI literacy is crucial for college and university students for several reasons:
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Career Preparedness: Many future careers will require knowledge of AI technologies. Understanding AI can give students a competitive edge in the job market.
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Critical Thinking and Problem-Solving: AI literacy helps develop essential skills such as critical thinking, creativity, and problem-solving. These skills are highly valued in various fields.
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Ethical Awareness: With AI’s growing influence, understanding its ethical implications is vital. Students need to be aware of issues like data privacy, bias, and the societal impacts of AI.
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Technological Proficiency: As AI becomes more integrated into everyday life, being proficient with AI tools and technologies will be increasingly important. This includes understanding how AI works and how to use it effectively.
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Adaptability: The rapid pace of technological change means that students must be adaptable. AI literacy helps them stay current with new developments and be flexible in their learning and professional environments.
By fostering AI literacy, universities can better prepare students for the challenges and opportunities of the future. (Text provided by Microsoft Copilot).
AI Literacy Framework by Dr. Karen Kennedy
AI Literacy: The Key to Responsible Use of AI in Education | Mary Lou Maher | TEDxUNCCharlotte
How the Overuse of Chatbots Suppress the Information Literacy Development of College Students, Library 2.0, Kelsey Gallagher, Assistant Director of Libraries, UCNJ Union College of Union County, NJ
AI Literacy Resources
- 7 Things You Should Know About AIGenerative AI can create new content, such as text, images, or music, based on the data they were trained on. Issues include ethical concerns, potential biases in generated content, and the need for large amounts of data and computational power. Generative AI is expected to evolve, offering more sophisticated and diverse applications, but it will require careful management to address its challenges.
- AI Literacy, ExplainedK-12 students are growing up in a world where AI influences many aspects of daily life. Understanding AI is crucial for students to navigate and succeed in a technology-driven world. Teachers need professional development to effectively integrate AI into their teaching practices. This article includes various related tags and additional readings on AI and digital literacy.
- Artificial Intelligence Tools: Promoting students’ AI literacyAI literacy is essential for students to interact productively and ethically with AI tools in personal, academic, and professional contexts. This page provides various resources and workshops to help educators and students enhance their AI literacy.
- The CLEAR path: A framework for enhancing information literacy through prompt engineeringThis article introduces the CLEAR Framework for Prompt Engineering, which includes five principles—Concise, Logical, Explicit, Adaptive, and Reflective—to optimize interactions with AI language models like ChatGPT.
- Creating an Academic Library Workshop Series on AI LiteracyThis article emphasizes the need for AI literacy in academic libraries to help users understand and critically engage with AI technologies. Highlights various instructional design and assessment approaches to integrate AI literacy into the curriculum.
- Developing a model for AI across the curriculum: Transforming the higher education landscape via innovation in AI literacyThe University of Florida is incorporating AI literacy across various disciplines to prepare students for the AI-driven future. The initiative focuses on embedding AI concepts into existing courses and creating new AI-specific courses. The goal is to equip students with the necessary AI literacy to meet the demands of the evolving job market.
- Key components of developing AI literacy at your institutionThis article emphasizes the need for AI literacy in higher education to prepare students for the AI-driven job market. The author highlights the importance of teaching students about the ethical implications of AI and encourages hands-on experience with AI tools to enhance understanding and skills.
- Promoting students’ AI literacy- Oregon State UniversityAI literacy is crucial for students to interact productively and ethically with AI tools in personal, school-related, and work-related contexts. This page offers various resources and workshops to help educators and students develop AI literacy skills.
- The ROBOT testThe LibrAIry, a website created by a small team of librarians from McGill University, has a tool you can use when reading about AI applications to help consider their legitimacy.
- Teaching AI literacy: how to beginAI is rapidly changing industries and daily life. Graduates need AI literacy to navigate and harness these changes effectively. Understanding the ethical implications of AI, such as biases and misinformation, is crucial for students.
- A Tech Librarian Explains How to Build AI LiteracyAI literacy involves competencies that enable people to critically evaluate AI technologies, communicate and collaborate with AI, and use AI tools effectively and ethically. AI literacy is essential for everyone, not just computer science experts, as AI is integrated into everyday tools and various industries.
- Towards Developing AI Literacy: Three Student Provocations on AI in Higher EducationThis article highlights the underrepresented voices of students in discussions about AI in higher education, sharing three student provocations on the topic. The authors emphasize the need for both students and educators to develop AI literacy to use AI ethically, creatively, and critically.
- Transparency and explainability of AI systems: From ethical guidelines to requirementsThis study emphasizes the importance of transparency and explainability as key quality requirements for AI systems, noting the lack of practical case studies on defining these requirements. The paper provides insights for researchers on organizational priorities regarding AI transparency and explainability, and offers practitioners a structured approach to defining these requirements.
- The White House: Blueprint for an AI Bill of RightsThis document from the White House states that AI systems should be designed to be safe and effective, with continuous monitoring to ensure they do not cause harm.
Some summaries provided by Microsoft Copilot.