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Senate releases draft guidelines for generative AI
The UBC Senate has released draft guidelines for the use of GenAI in education, highlighting both its potential benefits and the challenges it poses.
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Algorithms + altruism
Discover how Dr. Khan Jahirul Islam, a lecturer from UBC Okanagan, is developing a poverty reduction model in rural Bangladesh using AI and blockchain.
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The ‘deep learn’ framework: elevating AI literacy in higher education
AI literacy is no longer a futuristic concept; it’s a critical skill for university students. The ‘deep learn’ framework offers a comprehensive approach to enhancing literacy around artificial intelligence and application in higher education settings
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With AI still in the ‘honeymoon phase,’ how can training programs be effective?
As AI’s “honeymoon phase” evolves, companies face the urgent task of effectively training their workforce amidst widespread fear and ethical concerns. Explore how understanding employee apprehensions and fostering open communication can lead to successful AI integration.
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A learning renaissance
Generative AI is revolutionizing education by shifting from traditional methods to mastering advanced tools and ethical AI use. Educators emphasize understanding AI’s implications, while student-led AI initiatives enhance creativity and prepare for future technological advancements.
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Can AI nip tree disease in the bud?
The researchers at UBC’s faculty of forestry hope to validate the concept through future field tests and are enthusiastic about its potential.
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Practical Insights: Incorporating ChatGPT in Language Education and Beyond
Using the voice capabilities in ChatGPT to enrich interactive learning experiences could signal a new era in education and course design.
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2024 Edelman Trust Barometer
The 2024 Edelman Trust Barometer reveals a new paradox at the heart of society. Rapid innovation offers the promise of a new era of prosperity, but instead risks exacerbating trust issues, leading to further societal instability and political polarization.
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Firas Moosvi explores the ethics of generating course materials in his computer fluency class
Firas Moosvi, lecturer in the Department of Computer Science, explores the use of AI for generating his own class materials, and contemplates the ethics of such a choice.
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Can social robots be used in elder care? UBC study aims to find out
Dr. Lillian Hung from UBC is leading a study on how social robots interact with older adults and what this could mean for senior care.
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Leading Universities in Canada for AI and Data Science
Many Canadian universities are leading the way in AI. UBC is highlighted for its advanced AI and data science programs through the Department of Computer Science and Mathematics, particularly the Master of Data Science (MDS) program.
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Generative AI’s Potential Influence on Teaching and Learning
A podcast explores how generative AI impacts teaching and learning, moving beyond concerns about student cheating.
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Ilija Mišković – Using AI And Machine Learning To Create Sustainable Solutions
Discover how Ilija Mišković leverages AI and machine learning to revolutionize sustainable practices in energy and resource extraction, including innovative projects like a 5G-enabled autonomous mine and AI-driven mineral mapping. Dive into his journey from electrical technician to UBC engineering professor, shaping the future of mining engineering and sustainability.
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Arts Perspectives on AI: Fearing (your own) language in the age of artificial intelligence
The introduction of AI, specifically ChatGPT, has heightened anxieties about language use at universities, with concerns about the authenticity of student work and the reliability of AI detection tools. A case study at UBC demonstrated the complexities of AI detection when handwritten essays by a student and professor were falsely flagged for AI generation and plagiarism, highlighting the need for caution and reflection in integrating AI into educational practices.
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In AI We Trust – Too Much?
Explore the complex relationship between human trust and technology, delving into the urgent need for blending human emotional intelligence into AI tools and the growing call for regulation and skepticism in the evolving landscape of artificial intelligence, illustrated by compelling real-world examples.