News & Events

Events

  • Chatbots in Teaching and Learning | June 13

    Explore GenAI custom chatbots designed to assist with specific tasks, such as generating alt text for improved image accessibility, finding and summarizing academic articles, composing text, and creating PowerPoint presentations. The workshop will cover various GPT models available in the ChatGPT Plus store and introduce Poe, a platform that enables users to create their own bots using tools like ChatGPT, Claude, and DALL·E.

  • OER and GenAI | June 11

    This session will discuss the potential of AI in generating dynamic content, including interactive textbooks, and its potential in developing open educational resources and practices. It will also engage in discussions about the legal and ethical considerations of both AI and open education including copyright, privacy, and open licensing.

  • GenAI in Teaching and Learning 101 | May 15

    The session will provide an overview of large language models, such as ChatGPT, and their implications for teaching and learning. We will explore practical ways these technologies can be integrated into your teaching practice and curriculum to improve educational outcomes.

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Recent News

  • Hello GPT-4o

    OpenAI has released it’s latest model for human-computer interaction, GPT-4o. GPT-4o accepts text, audio, and image inputs and produces corresponding outputs, boasting lightning-fast response times akin to human conversation, superior multilingual text comprehension, and enhanced vision and audio understanding compared to previous models.

  • My deepfake shows how valuable our data is in the age of AI

    Explore the advancement of deepfake technology and the implications for society’s ability to discern truth from fiction. This technology prompts us to consider data privacy and ownership, emphasizing the need for transparency and ethical considerations in the age of AI.

  • Digital Transformation 2.0: The Age of AI

    With the rapid developments in artificial intelligence, higher education is entering a second phase of digital transformation. Technology and other campus leaders can take steps now to help prepare their institutions.

  • Universities Build Their Own ChatGPT-like Tools

    As concerns mount over the ethical and intellectual property implications of AI tools, universities are launching their own chatbots for faculty and students.

  • The Rise Of The Chief AI Officer: Is A Board Equivalent Necessary?

    The rapid advancement of AI prompts businesses to rethink governance methods, leading to discussions about integrating AI expertise into boardrooms alongside the emergence of Chief AI Officers, indicating a need for proactive AI governance strategies to harness its potential for informed decision-making and sustainable growth.

  • AI’s Trust Problem

    As AI becomes more powerful, it faces a major trust problem. Consider 12 leading concerns: disinformation, safety and security, the black box problem, ethical concerns, bias, instability, hallucinations in LLMs, unknown unknowns, potential job losses and social inequalities, environmental impact, industry concentration, and state overreach.

  • Unleashing the Power of Generative AI at UBC’s Cloud Innovation Centre

    The University of British Columbia’s Cloud Innovation Centre (UBC CIC), powered by Amazon Web Services (AWS), is spearheading work in generative AI, enabling organizations to tackle real-world challenges and drive innovation. Through partnerships with industry and public institutions, they’re harnessing the power of AI to support fields such as healthcare, education, and emergency services, showcasing the potential of technology to shape a more sustainable and interconnected world.

  • The AI Index Report: Measuring Trends in AI

    The AI Index report tracks, collates, distills, and visualizes data related to artificial intelligence (AI). This data aims to provide unbiased, rigorously vetted, broadly sourced data in order for policymakers, researchers, executives, journalists, and the general public to develop a more thorough and nuanced understanding of the complex field of AI.

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