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Artificial intelligence chatbots exhibits similar biases to humans, according to new research published in Proceedings of the National Academy of Sciences of the United States of America (PNAS). The study suggests that AI tends to favor certain types of information over others, reflecting patterns seen in human communication. The motivation behind this research lies in the burgeoning influence of large language models like ChatGPT-3 in various fields. With the wide application of these AI systems, understanding how they might replicate human biases becomes crucial.

A Stanford University study shows that the availability of generative algorithms such as ChatGPT has not seen a significant increase in cheating. Instead, students have incorporated the functionalities of generative algorithms as another tool, using it as a source of additional information that can save time.

The use of generative AI tools on campus is an excellent opportunity for technology and other leaders to provide guidance to students, faculty, and staff about how to navigate these new technological waters. In April 2023, we were involved in a panel with students at College Unbound. The conversation —"Generative AI and Higher Education: Disruption, Opportunities, and Challenges"— offered many different highlights, and the students brought rich thoughts, provocative considerations, and smart ideas, reinforcing the fact that discussions around what to do about generative AI (or about anything else, for that matter) are enhanced when students are involved. Toward the end of the panel conversation, Stan asked the students what they thought could be done to help faculty, students, and staff navigate the rise of AI. Essentially, he was curious to hear about the roles that technology and other leaders could fulfill. After thinking about their answers and engaging in further reflection, we came up with ten suggestions for how to step up and in to the generative AI discussion in higher education.

Me reúno con Sutskever, cofundador y director científico de OpenAI, en las oficinas de su empresa en una anodina calle del Mission District de San Francisco (California, EE UU). El objetivo es que comparta sus previsiones sobre el futuro de una tecnología mundialmente conocida, y en cuyo desarrollo ha tenido mucho que ver. También quiero saber qué cree que será lo próximo en llega y, en particular, por qué la construcción de la próxima generación de los modelos generativos insignia de OpenAI ya no es el centro de su trabajo. En lugar de construir el próximo GPT o el creador de imágenes DALL-E, Sutskever cuenta que su nueva prioridad es averiguar cómo impedir que una superinteligencia artificial, una hipotética tecnología futura que ve llegar con la previsión de un verdadero creyente, se rebele.