Grab The AI In Learning All-Access Pass And You Won’t Miss A Thing…
All of the expert presentations will close 24 hours after they are live — after that, they will be locked away in the AIL All-Access Pass Vault.
You can view the full schedule below.
We’ve been using AI tools like smart speakers for years, but the explosion of generative tools like Chat GPT have put the power of AI in the hands of everyone. The speakers and resources for this session discuss how we can leverage these tools to create and manage learning, today.
Natalie explains and demonstrates how Hour One is allowing educators to scale their delivery with virtual twins.
Michael delivers an overview of the current state of play, considerations for use in your practice and pitfalls of which we all need to be aware.
Vince gives us a deep dive into how AI can improve and evolve the de facto interface for AI agents.
Pascal considers how we can introduce AI into current standard microlearning practices, as well as create potential new opportunities.
Lena demonstrates how Unschooler arrived at a marketplace perspective to upskilling by way of AI, showing we can put next-gen tools to work for more radical use cases that focus on learner empowerment, agency, and choice.
Tom provides an optimistic call for educators around the world, chock-full of ideas to make teaching and the education profession much more efficient, enjoyable, and valuable for all.
Tristia gives an in-depth review of several AI tools she is already using for her award-winning work in learning design.
Bianca provides an overview of several AI tools she is already using with clients for creating impactful learning.
Mario gives us his perspective about how AI is changing the L&D design and delivery process, with insights into what will be possible in the near future.
Edie provides a foundation for understanding how AI is entering the learning space and how you can participate.
The promise of how AI might change our lives continues to lie just around the corder. These presentations consider what will be (or might be) possible for learning professionals sooner than we think!
Ryan and Rachel explain the challenges and successes of implementing ChatGPT as a teaching assistant in higher education.
Markus takes us through a framework that provides the questions we all should be asking about AI solutions and tools.
Joe discusses and demonstrates a new method for pre-venting and detecting AI in authoring that can be implemented in any LMS.
A never-before-seen presentation by acclaimed learning executive and CEO of Brain Aware Training, Dr. Britt Andreatta, opens our second day with a look at possible AI implications from the learner (and the learner brain) perspective.
Swagata shows us how to create a customized AI powered chatbot in less than 20 minutes!
Chad invites us to explore the full range of ramifications of AI into organizations, strategy, and business development.
Bodo gives us a compelling reason to consider AI in learning via an easy-to-follow overview of three key technologies that have the potential to shape how learning will work in the future.
Neil discusses what is likely the most urgent implication of generative AI in education. Is there really a way forward that addresses issues like originality, plagiarism, detection, and prevention?
Karie presents her expert framework on predicting upcoming threats and opportunities brought by technology and macro events.
German delivers his vision for the future of education empowered and enhanced by AI.
Data privacy, authentic materials, citations, hallucinations… the list of things AI cannot or should not do is long. These talks focus on how should we approach these challenges, and anticipate future ones.
Allison brings her decades of experience to the stage to offer perspective about how we have the potential to personalize learning (especially in K-12) via AI.
Jon walks us through his experience in the classroom, talking with boards of education and writing three books about AI in education.
A must-see presentation when Kerstin walks us through all of the reasons data is the be-all & end-all for all things AI.
Shouvik presents research conducted by Copyleaks about how AI is being used… and a vision for how we can embrace and adapt policy and practice for the future of Higher Ed.
Joe delivers an AWS enterprise perspective on how generative AI is and will affect the learning space.
Kate and Edgar present their work and findings from a project focused on detecting bias in education data created by AI in the state of Guanajuato, Mexico.
Kelly shares an informed, yet passionate look at the ethical predicaments and moral hazards we’re already dealing with in the learning space, but will only grow harder and more poignant.
Betsy brings us a vivid personal account of early adoption and early findings, along with a list of issues she’s faced with… and how she plans on continuing to evolve her practice.
Dr. Egan Warren presents a clear and structured way to approach how you will incorporate and consider AI in your class and institution.
Lilly discusses how higher ed institutions are, and will be, impacted by AI and offers thoughts about how to approach policy ad practice.
How and Why You Should Create a Cohesive Learning Ecosystem for Your Organization
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