Showing posts with label AI literacy. Show all posts
Showing posts with label AI literacy. Show all posts

Wednesday, October 2, 2024

Scottish university to host AI ethics conference; Holyrood, October 2, 2024

 Holyrood; Scottish university to host AI ethics conference

"The University of Glasgow will gather leading figures from the artificial intelligence (AI) community for a three-day conference this week in a bid to address the ethical challenges posed by the technology.

Starting tomorrow, the Lovelace-Hodgkin Symposium, will see academics, researchers, and policymakers discuss how to make AI a tool for “positive change” across higher education.

The event will inform the development of a new online course on AI ethics, which will boost ethical literacy "across higher education and beyond”, the university said...

During the symposium, speakers from the university’s research and student communities will present and participate in workshops alongside representatives to build the new course.

The first day of the event will examine the current state of AI, focusing on higher education and the use of AI in research and teaching.

On Thursday, the conference will discuss how to tackle inequality and bias in AI, featuring discussions on AI and race, gender, the environment, children’s rights, and how AI is communicated and consumed.

The final day will involve participants creating an ethical framework for inclusive AI, where they will outline a series of actionable steps and priorities for academic institutions, which will be used to underpin the online course."

Tuesday, May 14, 2024

Ethics and equity in the age of AI; Vanderbilt University Research News, May 7, 2024

Jenna Somers, Vanderbilt University Research News ; Ethics and equity in the age of AI

"Throughout the conversation, the role of human intellect in responsible AI use emerged as an essential theme. Because generative AI is trained on a huge body of text on the internet and designed to detect and repeat patterns of language use, it runs the risk of perpetuating societal biases and stereotypes. To mitigate these effects, the panelists emphasized the need to be intentional, critical, and evaluative when using AI, whether users are experts designing and training models at top-tier companies or college students completing an AI-based class assignment.

“There is a lot of work to do around AI literacy, and we can think about this in two parts,” Wise said."