News Archive

  • Tackling AI Risks: Your Reputation is at Stake

    Assessing AI risks in the context of their use, rather than as inherent in the technologies themselves, leads to smarter and safer implementations. 

  • AI’s Carbon Footprint is Bigger than You Think

    Discover the hidden environmental impact of AI usage in this groundbreaking research, revealing the carbon footprint of generative AI models. Dive into the story to understand how AI emissions affect our planet and explore solutions for minimizing harm while harnessing AI’s benefits.

  • AI’s Hidden Climate Costs | About That

    As the demand for artificial intelligence grows, so does its thirst for one of our planet’s most precious resources. Andrew Chang explores how the supercomputers that run AI stay cool – by using massive amounts of fresh, clean drinking water.

  • Is AI in the Eye of the Beholder?

    Discover how subtle priming statements wield immense power over users’ trust in artificial intelligence agents. This research unveils the intricate interplay between human perception and AI, offering profound insights crucial for the evolution and integration of AI technology.

  • The Current State of Artificial Intelligence Generative Language Models is More Creative than Humans on Divergent Thinking Tasks

    Dive into a thought-provoking study examining the creative capabilities of humans compared to AI, like ChatGPT. With AI demonstrating robustly superior creative potential across various tasks, this research challenges conventional perceptions and sparks crucial conversations about the evolving role of AI in creative endeavors.

  • The Opportunities at the Intersection of AI, Sustainability, and Project Management

    There are unprecedented opportunities at the intersection of AI, project management, and sustainability, but without proper execution, projects come with complexities, costs and a carbon footprint that undermine sustainability goals. It is essential for project managers to learn to implement “green algorithms,” specialized AI constructs designed to both enhance operational efficiency and prioritize sustainability.

  • Privacy Impact Assessments for GenerativeAI Instructional Use

    Guidance for instructional use of AI based on current Privacy Impact Assessments (PIA) including any recommendations for Instructors with regards to teaching and learning uses for Generative AI Tools at UBC.

  • A Large-scale Comparison of Human-written Versus ChatGPT-generated Essays

    Delve into a comprehensive study uncovering intriguing linguistic disparities between human-written and AI-generated argumentative essays, prompting a reevaluation of educational approaches in light of evolving AI technologies. Explore the implications for teaching practices and language generation in this illuminating research.

  • Should We be Excited or Worried About the Rise of AI?

    UBC experts provide perspectives on the rise of AI, from its potential to revolutionize industries and improve quality of life to the risks of bias, societal repercussions, and the potential to impoverish human relationships. Dive deeper into discussions ranging from AI as a useful tool to its potential to become a dangerous, highlighting the importance of human agency.

  • ChatClimate: Grounding Conversational AI in Climate Science

    Discover how ChatClimate, a groundbreaking conversational AI, leverages the latest IPCC AR6 reports to tackle the challenges of misinformation and outdated data in climate change discussions. By enhancing the accuracy of Large Language Models, ChatClimate offers a timely and reliable resource for decision-makers and the public, revolutionizing access to crucial climate information.

  • AI Agents Help Explain Other AI Systems

    Venture into the realm of AI interpretability with MIT researchers unveiling a groundbreaking method employing AI agents to unravel the mysteries of trained neural networks. Discover how these autonomous agents delve into intricate network computations, shedding light on their behavior and paving the way for more transparent and reliable AI systems.

  • 10 Ways Artificial Intelligence Is Transforming Instructional Design

    An exploration of various AI-powered tools and techniques such as personalized learning, adaptive systems, intelligent tutoring, natural language processing, gamification, analytics, content creation, assessment, and resource optimization. By incorporating AI, educators can enhance learning experiences, automate tasks, and ultimately transform the way education is delivered.

  • The Carbon Impact of Artificial Intelligence

    Delve into the intricate web of AI’s environmental implications, from the exploitation of human labor to the exponential rise in computational demands, as experts navigate the complex terrain of “red AI” versus “green AI” strategies, urging for a paradigm shift towards eco-conscious innovation and policy reform.

  • New Tools are Available to Help Reduce the Energy that AI Models Devour

    Explore groundbreaking efforts in reducing energy consumption in AI models, from capping power usage to optimizing hardware selections, revolutionizing green-computing research and fostering a culture of transparency. With innovative techniques yielding significant energy savings and minimal impact on performance, their work is poised to reshape the future of AI development and data center operations, offering a blueprint for sustainability in the computing industry.

  • AI Isn’t the Problem. It’s How We Use It, Especially in Schools

    Harvard’s Jal Mehta discusses the transformative potential of artificial intelligence in education, emphasizing the need to rethink tasks to leverage AI effectively while preserving essential learning experiences highlighting the importance of equipping students with skills to navigate an AI-centric future.