{"id":619,"date":"2025-04-10T12:14:29","date_gmt":"2025-04-10T11:14:29","guid":{"rendered":"https:\/\/eunis.org\/eunis2025\/events\/sig-pre-conference-workshop-9-ia4all\/"},"modified":"2025-05-16T15:03:41","modified_gmt":"2025-05-16T14:03:41","slug":"pre-conference-ai4all","status":"publish","type":"mec-events","link":"https:\/\/eunis.org\/eunis2025\/events\/pre-conference-ai4all\/","title":{"rendered":"Pre-conference | AI for Good (?)"},"content":{"rendered":"

SIG AI4ALL<\/strong><\/h4>\n
Duration: half day (pm)
\n<\/strong><\/h5>\n

Is Inclusive and Sustainable Artificial Intelligence possible? Exploring uncharted territories and new challenges.<\/strong><\/h4>\n

As Artificial Intelligence rapidly becomes embedded in the infrastructure of our institutions\u2014shaping everything from teaching and assessment to climate strategy and policy\u2014the question we must ask is no longer if we use AI, but how we do so responsibly. Can AI truly be both inclusive and sustainable? And what does that mean for higher education?<\/span><\/p>\n

This session opens by confronting the core tensions at the heart of AI adoption: the potential of AI to widen access to learning, personalize education, and assist in overcoming barriers\u2014contrasted with its risks of amplifying bias, excluding marginalized voices, and contributing to environmental degradation.<\/span><\/p>\n

Cal Innes (Jisc) takes us into the real-world trade-offs: AI\u2019s carbon footprint, the challenges of digital equity, and the promise of climate-resilient, ethical applications. Bianca De Teff\u00e9 Erb builds on this by challenging us to rethink who AI is being built for\u2014and who gets left out. Her call is clear: inclusion must be designed into AI from the start, not patched on afterward.<\/span><\/p>\n

We then ground these provocations in practical contexts. From AI tools that support dyslexic or multilingual learners, to chatbots that simplify complex texts and enhance comprehension, we explore how inclusive learning is already being reimagined. But we also face a governance gap: institutions are moving faster than regulation can keep up.<\/span><\/p>\n

Ethical concerns around privacy, bias, academic integrity, and transparency are no longer abstract\u2014they are everyday realities in the classroom. This session offers not just insight, but a space to ask difficult questions, share strategies, and co-create a vision for an AI-ready higher education that is just, inclusive, and sustainable\u2014for all.<\/span><\/p>\n

Artificial Intelligence is transforming higher education\u2014but not without consequences. From algorithmic bias to unequal access, from data privacy concerns to environmental impact, the ethical challenges of AI are as urgent as its promises are vast.<\/span><\/p>\n

This session brings together thought leaders and practitioners to ask the tough questions: Can AI be truly inclusive? Can we innovate without leaving communities\u2014and the planet\u2014behind? And how can universities lead this transformation with integrity?<\/span><\/p>\n

With insights from real-world implementations and forward-looking ethical frameworks, we\u2019ll explore how AI is being used to support accessibility, foster equity, and build more sustainable digital infrastructures.<\/span><\/p>\n

The talks will be followed by “The Good, The Bad & The Ugly of AI & How to make sure the University is on the Good side”, a fishbowl discussion moderated by John Magnus Kallevik, with an intervention by Laura Ferri, on topics like:<\/p>\n
    \n
  • (Un)Sustainable AI<\/li>\n
  • Social and geo-political relevance (& digital divide) of AI4ALL<\/li>\n
  • Inclusive and Accessible AI and AI for inclusion and accessibility<\/li>\n
  • Thinking out of the (black) box: transparency of AI solutions and their potential bias and\/or risks<\/li>\n
  • Universities as gatekeepers? The role of HEIs in promoting a fair use of AI<\/li>\n
  • What AI can we use safely?<\/li>\n
  • Alignment between AI and Ethics (e.g. Constitutional AI)<\/li>\n<\/ul>\n<\/div>\n
    and many more!<\/div>\n
    Moderator(s): Giuliano Pozza and Bonaria Biancu<\/strong><\/h5>\n

     <\/p>\n","protected":false},"excerpt":{"rendered":"

    SIG AI4ALL Duration: half day (pm) Is Inclusive and Sustainable Artificial Intelligence possible? Exploring uncharted territories and new challenges. As Artificial Intelligence rapidly becomes embedded in the infrastructure of our institutions\u2014shaping everything from teaching and assessment to climate strategy and policy\u2014the question we must ask is no longer if we use AI, but how we […]<\/p>\n","protected":false},"author":382,"featured_media":1036,"comment_status":"open","ping_status":"closed","template":"","tags":[],"mec_category":[21],"mec_speaker":[117,79,118,119],"class_list":["post-619","mec-events","type-mec-events","status-publish","has-post-thumbnail","hentry","mec_category-pre-conference-days"],"_links":{"self":[{"href":"https:\/\/eunis.org\/eunis2025\/wp-json\/wp\/v2\/mec-events\/619","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/eunis.org\/eunis2025\/wp-json\/wp\/v2\/mec-events"}],"about":[{"href":"https:\/\/eunis.org\/eunis2025\/wp-json\/wp\/v2\/types\/mec-events"}],"author":[{"embeddable":true,"href":"https:\/\/eunis.org\/eunis2025\/wp-json\/wp\/v2\/users\/382"}],"replies":[{"embeddable":true,"href":"https:\/\/eunis.org\/eunis2025\/wp-json\/wp\/v2\/comments?post=619"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/eunis.org\/eunis2025\/wp-json\/wp\/v2\/media\/1036"}],"wp:attachment":[{"href":"https:\/\/eunis.org\/eunis2025\/wp-json\/wp\/v2\/media?parent=619"}],"wp:term":[{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/eunis.org\/eunis2025\/wp-json\/wp\/v2\/tags?post=619"},{"taxonomy":"mec_category","embeddable":true,"href":"https:\/\/eunis.org\/eunis2025\/wp-json\/wp\/v2\/mec_category?post=619"},{"taxonomy":"mec_speaker","embeddable":true,"href":"https:\/\/eunis.org\/eunis2025\/wp-json\/wp\/v2\/mec_speaker?post=619"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}