X-Portrait 2: Highly Expressive Portrait Animation Portrait animation technology provides a ultra-low cost and highly effective way to creating expressive, realistic character animations and video footages: users only need to provide a static portrait image and a driving performance video, and the model can then use these inputs to generate videos by transferring the driving expression to the subject in the portrait. This can drastically reduce the complexity of existing motion capture, character animation and content creation pipeline.
Artificial Intelligence (AI) Tools – Research Integrity & Assurance With the emergence of artificial intelligence (AI), investigators have a unique opportunity to use AI in their own research studies. Best practices on the use of AI in human subjects research are not yet well formed, nor is there general consensus on appropriate use. Given this fluidity, this guidance is therefore subject to change based on the development of this novel technology and best practices for its use. This guidance covers the use of AI, machine learning, deep learning, and related AI techniques used in research activities, as well as other activities that may govern or affect the use of AI tools within the context of research.
How to think critically about the quest for Artificial General Intelligence This type of hallucination happens with tasks that do not appear frequently in LLM training data. They occur because the LLM is not reasoning the way that we humans do, they are not “thinking” in logical fashion to determine the right number to select. Instead, they are making statistical predictions about which text is most likely to be responsive to the prompt. Since this is a novel task, the LLM struggles.
Transforming Pedagogy For Generative AI Era: A Vision For The Future Our pedagogy must evolve beyond traditional methods to a model that fully integrates AI’s strengths while protecting the distinctly human skills that AI cannot replace—critical thinking, ethical reasoning, and creativity, as highlighted in the AACSB report Building Future-Ready Business Schools with Generative AI. AI should augment human intelligence, not replace it. Our role as educators is to redesign curricula that leverage AI while cultivating the irreplaceable human qualities of judgment, empathy, and collaboration, ensuring that students remain the leaders and innovators in an increasingly AI-driven world.
Essential Considerations for Addressing the Possibility of AI-Driven Cheating, Part 2 | Faculty Focus Redesigning assignments can reduce the potential for cheating with AI. Students are more likely to cheat when there is a stronger focus on scores (grades) than learning (Anderman, 2015), there is increased stress, pressure, and anxiety (Piercey, 2020), there is a lack of focus on academic integrity, trust, and relationship building (Lederman, 2020), the material is not perceived to be relevant or valuable to students (Simmons, 2018), and instruction is perceived to be poor (Piercey, 2020).