At the start of the new school year, here are MIT Technology Review’s six essential tips for how to get started on giving your kid an AI education.
Observatorio IA - artículo
Aquí están seis consejos esenciales publicados por el MIT Technology Review sobre cómo comenzar a dar a tu hijo una educación en IA.
Como me pareció interesante hice esta traducción que sirve también para los docentes.
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).
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.
Custom instructions let you share anything you'd like ChatGPT to consider in its response.
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.
A new set of principles has been created to help universities ensure students and staff are ‘AI literate’ so they can capitalise on the opportunities technological breakthroughs provide for teaching and learning.
The statement, published today (4 July) and backed by the 24 Vice Chancellors of the Russell Group, will shape institution and course-level work to support the ethical and responsible use of generative AI, new technology and software like ChatGPT.
Developed in partnership with AI and educational experts, the new principles recognise the risks and opportunities of generative AI and commit Russell Group universities to helping staff and students become leaders in an increasingly AI-enabled world.
The five principles set out in today’s joint statement are:
Universities will support students and staff to become AI-literate.
Staff should be equipped to support students to use generative AI tools effectively and appropriately in their learning experience.
Universities will adapt teaching and assessment to incorporate the ethical use of generative AI and support equal access.
Universities will ensure academic rigour and integrity is upheld.
Universities will work collaboratively to share best practice as the technology and its application in education evolves.
Why 2023-2024 will be remembered as the academic year that education embraced AI.
The goal of learner discovery is to deeply understand the “why” of your learners. Research shows that by doing this, we can optimise our designs for learner motivation and, as a result, learner achievement.
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