The MLA’s method for citing sources uses a template of core elements—standardized criteria that writers can use to evaluate sources and create works-cited-list entries based on that evaluation. That new technologies like ChatGPT emerge is a key reason why the MLA has adopted this approach to citation—to give writers flexibility to apply the style when they encounter new types of sources. In what follows, we offer recommendations for citing generative AI, defined as a tool that “can analyze or summarize content from a huge set of information, including web pages, books and other writing available on the internet, and use that data to create original new content” (Weed).
Observatorio IA
In this post, I discuss situations where students and researchers use ChatGPT to create text and to facilitate their research, not to write the full text of their paper or manuscript. We know instructors have differing opinions about how or even whether students should use ChatGPT, and we’ll be continuing to collect feedback about instructor and student questions. As always, defer to instructor guidelines when writing student papers. For more about guidelines and policies about student and author use of ChatGPT, see the last section of this post.
Recently, I’ve been doing a lot of work helping businesses to explore how to integrate AI to improve the efficiency and effectiveness of their organisations, especially their HR and L&D teams.
Fear of AI hallucinations along with concerns for data privacy means that most business leaders in start with the assumption that the power and potential of AI lies in building bespoke LLMs - i.e. building an internal search + retrieve engine based on internal data using a chat interface.
George Siemens
(29/08/2023)
Sensemaking, AI, and Learning (SAIL). This is a regular newsletter that tracks AI trends through the lens of education.
Boletín de agosto de 2023.
As we bring Bard to more people and places around the world, we’d like to share more about how we’re building Bard responsibly, its limitations, how we manage your data, and how you can best use Bard as your creative and helpful collaborator.
Custom instructions let you share anything you'd like ChatGPT to consider in its response.
Ethan Mollick
(28/08/2023)
I wanted a place to translate research into advice, or commentary, in a way that was short and useful - covering One Useful Thing in each post. Due to timing and circumstance, I have very much come to focus on AI, and its impacts on work and education. So that is now the One Useful Thing of this blog.
DeepLearning.AI
(28/08/2023)
AI is not only for engineers. “AI for Everyone”, a non-technical course, will help you understand AI technologies and spot opportunities to apply AI to problems in your own organization. You will see examples of what today’s AI can – and cannot – do. Finally, you will understand how AI is impacting society and how to navigate through this technological change.
If you are a non-technical business professional, “AI for Everyone” will help you understand how to build a sustainable AI strategy. If you are a machine learning engineer or data scientist, this is the course to ask your manager, VP or CEO to take if you want them to understand what you can (and cannot!) do.
Last week, I was lucky enough to speak with colleagues at the University of Toronto about where we’re at with AI and education and where we might go next.
Ever since OpenAI released ChatGPT, the internet has been awash in synthetic text, with suggested applications including robo-lawyers, robo-therapists, and robo-journalists. I will overview how language models work and why they can seem to be using language meaningfully-despite only modeling the distribution of word forms. This leads into a discussion of the risks we identified in the Stochastic Parrots paper (Bender, Gebru et al 2021) and how they are playing out in the era of ChatGPT. Finally, I will explore what must hold for an appropriate use case for text synthesis.
Pages
Sobre el observatorio
Sección en la que se recogen publicaciones interesantes sobre inteligencia artificial no dedicadas específicamente a la enseñanza de ELE. Los efectos de la IA sobre la enseñanza y aprendizaje de lenguas van a ser, están siendo, muy notables y es importante estar informado y al día sobre este tema.
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