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.
Observatorio IA - Russell Group
Tipo
-
aplicación (3)
-
artículo (71)
-
artículo científico (11)
-
boletín (3)
-
curso (1)
-
libro (2)
-
podcast (1)
-
presentación (6)
-
revista (1)
-
sitio web (11)
-
tuit (26)
-
vídeo (5)
Temas
-
aplicaciones (28)
-
aprendizaje (8)
-
Australia (1)
-
Bard (4)
-
big data (1)
-
Bing (3)
-
brecha digital (1)
-
chatbots (8)
-
chatGPT (43)
-
código abierto (1)
-
cognición (1)
-
cómo citar (2)
-
comparación (3)
-
consejos de uso (2)
-
curso (1)
-
cursos (1)
-
DALLE2 (1)
-
deep learning (2)
-
deepfakes (1)
-
detección de uso (6)
-
diseño educativo (1)
-
disrupción (1)
-
e-learning (1)
-
economía (1)
-
educación (42)
-
educadores (1)
-
embeddings (1)
-
encuesta (2)
-
enseñanza (3)
-
enseñanza de IA (1)
-
entrevista (2)
-
escritura (2)
-
evaluación (4)
-
experimentación (1)
-
Google (2)
-
Google Docs (1)
-
guía (1)
-
guía de uso (5)
-
historia (1)
-
IA generativa (3)
-
IA vs. humanos (1)
-
ideas (1)
-
ideas de uso (7)
-
información (1)
-
investigación (4)
-
Kahoot (1)
-
LLM (2)
-
machine learning (2)
-
mapas (1)
-
medicina (1)
-
Microsoft (1)
-
mundo laboral (1)
-
música (1)
-
niños (1)
-
noticias (1)
-
opinión (4)
-
pedagogía (1)
-
plagio (3)
-
plugins (2)
-
presentación (1)
-
problemas (2)
-
programación (1)
-
prompts (1)
-
recomendaciones (1)
-
recopilación (15)
-
recursos (1)
-
regulación (1)
-
revista (1)
-
riesgos (4)
-
robots (1)
-
trabajo (3)
-
traducción (2)
-
turismo (1)
-
tutorbots (1)
-
tutores de IA (2)
-
tutoriales (3)
-
uso de la lengua (1)
-
uso del español (1)
-
uso en educación (4)
-
usos (4)
-
valoración (1)
-
viajes (1)
Autores
-
A. Lockett (1)
-
AI Foreground (1)
-
Alfaiz Ali (1)
-
Anna Mills (1)
-
Antonio Byrd (1)
-
Barnard College (1)
-
Barsee (1)
-
Ben Dickson (1)
-
Brian Roemmele (1)
-
Brian X. Chen (4)
-
Carmen Rodríguez (1)
-
Ceylan Yeginsu (1)
-
Csaba Kissi (1)
-
David Green (1)
-
DeepLearning.AI (1)
-
Dennis Pierce (1)
-
Dimitri Kanaris (1)
-
Eli Collins (1)
-
Emily Bender (1)
-
Enrique Dans (2)
-
Eric M. Anderman (1)
-
Eric Wu (1)
-
Ethan Mollick (1)
-
Eva M. González (1)
-
Francis Y (3)
-
Gary Marcus (1)
-
George Siemens (3)
-
Gonzalo Abio (1)
-
Google (3)
-
Gorka Garate (1)
-
Greg Brockman (1)
-
Guillaume Bardet (1)
-
Hasan Toor (4)
-
Hassan Khosravi (1)
-
Helen Beetham (1)
-
Hélène Sauzéon (1)
-
Holly Hassel (1)
-
Ian Roberts (1)
-
James Zou (1)
-
Jas Singh (3)
-
Javier Pastor (1)
-
Jeffrey Watumull (1)
-
Jenay Robert (1)
-
Johanna C. (1)
-
Johannes Wachs (1)
-
Josh Bersin (1)
-
Juan Cuccarese (1)
-
Julian Estevez (1)
-
Kalley Huang (1)
-
Karie Willyerd (1)
-
Kevin Roose (1)
-
Kui Xie (1)
-
Leonardo Flores (1)
-
Lijia Chen (1)
-
Lorna Waddington (1)
-
Manuel Graña (1)
-
Mark McCormack (1)
-
Marko Kolanovic (1)
-
Melissa Heikkilä (1)
-
Mert Yuksekgonul (1)
-
Microsoft (1)
-
MLA Style Center (1)
-
Muzzammil (1)
-
Nada Lavrač (1)
-
Naomi S. Baron (1)
-
Natasha Singer (1)
-
Nathan Lands (1)
-
Nicole Muscanell (1)
-
Nikki Siapno (1)
-
NLLB Team (1)
-
Noam Chomsky (1)
-
Nuria Oliver (1)
-
Oliver Whang (1)
-
Olumide Popoola (1)
-
OpenAI (1)
-
Paul Couvert (5)
-
Paula Escobar (1)
-
Pauline Lucas (1)
-
Petr Šigut (1)
-
Philippa Hardman (18)
-
Pingping Chen (1)
-
Pratham (1)
-
Rafael Ruiz (1)
-
Rania Abdelghani (1)
-
Rebecca Marrone (1)
-
Rowan Cheung (2)
-
Russell Group (1)
-
Sal Khan (1)
-
Samuel A. Pilar (1)
-
Samuel Fowler (1)
-
Sarah Z. Johnson (1)
-
Sepp Hochreiter (1)
-
Serge Belongie (1)
-
Shazia Sadiq (1)
-
Sihem Amer-Yahia (1)
-
Sonja Bjelobaba (1)
-
Stella Tan (1)
-
Stephen Marche (1)
-
Steve Lohr (1)
-
Tiffany Hsu (1)
-
Tim Leberecht (1)
-
Timothy McAdoo (1)
-
Tom Graham (1)
-
Tom Warren (1)
-
Tomáš Foltýnek (1)
-
Tong Wang (1)
-
Tulsi Soni (2)
-
Vicki Boykis. (1)
-
Víctor Millán (1)
-
Weixin Liang (1)
-
Xingdi Yuan (1)
-
Yejin Choi (1)
-
Yen-Hsiang Wang (1)
-
Yining Mao (1)
-
Yurii Nykon (1)
-
Zhijian Lin (1)
Fuentes
-
APA Style (1)
-
arXiv (4)
-
EDUCAUSE (3)
-
Educaweb (1)
-
ElDiario.es (2)
-
Enrique Dans (1)
-
eSchool News (1)
-
Generación EZ (1)
-
GP Strategies (1)
-
HigherEdJobs (1)
-
IE Insights (1)
-
IEEE Access (2)
-
Intellias (1)
-
J.P.Morgan (1)
-
Joshbersin.com (1)
-
Kahoot! (1)
-
La Tercera (1)
-
Learning Letters (2)
-
Meta AI (1)
-
Meta Research (1)
-
MLA (1)
-
Multiplex (1)
-
New York Times (13)
-
Open AI (1)
-
OpenAI (2)
-
RTVE (1)
-
Russell Group (1)
-
TED (5)
-
TEDx (1)
-
The Atlantic (1)
-
The Conversation (4)
-
The Rundown (1)
-
The Verge (1)
-
ThinkBig (1)
-
Twitter (26)
-
Xataca (1)
-
Youtube (5)