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ADAPT Radio
The ADAPT Centre
82 episodes
1 week ago
Local government faces challenge implementing generative AI ethically whilst maintaining public trust and data security as new EU AI Act regulations require basic AI literacy training for staff. Khizer Ahmed Biyabani, researcher with ADAPT at Trinity College Dublin and 2025 Digital Transformation Rising IT Star winner, alongside Richie Shakespeare, assistant staff officer Dublin City Council, explain Ireland's first local government generative AI Lab translating academic research into practical ethical AI tools, how retrieval model analysing council meeting minutes avoids hallucinations by training only on specific datasets preventing New South Wales Australia confusion, why four pillars covering governance, education, proof of concepts and enterprise scaling create systematic approach, and how smart gully life buoy monitoring sensors demonstrate broader Smart Cities innovation culture. Khizer Ahmed Biyabani is researcher with ADAPT at Trinity College Dublin recently winning Rising IT Star in Public Sector Award at 2025 Digital Transformation and AI Awards. Co-leading Ireland's first local government generative AI Lab translating academic research into ethical practical AI tools for public services, he runs Explain IT workshops with colleague Claudia Bailey from Smart Documents under Academy Near Future programme at Connect Resource Centre providing basic AI literacy training required by EU AI Act Article Four. Richie Shakespeare is assistant staff officer in Dublin City Council working within Smart Cities tech innovation section examining new emerging technologies, innovative processes and collaboration models making city operate smarter. Co-leading local government generative AI Lab partnership with ADAPT Centre at Trinity College Dublin, he focuses on internal process improvements identifying pain points staff experience whilst maintaining ethical considerations around data sensitivity and personal information protection. Connect with the Gen AI Lab: Website: www.adaptcentre.ie ADAPT Centre at Trinity College Dublin Dublin City Council Smart Cities Division MORE INFORMATION You can learn more about the Sea-Scan project and other cutting-edge research at Trinity College Dublin's ADAPT Centre here: www.adaptcentre.ie/ Adapt Radio is produced by DustPod.io for the ADAPT Centre For more information about ADAPT's groundbreaking AI and data analytics research visit www.adaptcentre.ie/
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Local government faces challenge implementing generative AI ethically whilst maintaining public trust and data security as new EU AI Act regulations require basic AI literacy training for staff. Khizer Ahmed Biyabani, researcher with ADAPT at Trinity College Dublin and 2025 Digital Transformation Rising IT Star winner, alongside Richie Shakespeare, assistant staff officer Dublin City Council, explain Ireland's first local government generative AI Lab translating academic research into practical ethical AI tools, how retrieval model analysing council meeting minutes avoids hallucinations by training only on specific datasets preventing New South Wales Australia confusion, why four pillars covering governance, education, proof of concepts and enterprise scaling create systematic approach, and how smart gully life buoy monitoring sensors demonstrate broader Smart Cities innovation culture. Khizer Ahmed Biyabani is researcher with ADAPT at Trinity College Dublin recently winning Rising IT Star in Public Sector Award at 2025 Digital Transformation and AI Awards. Co-leading Ireland's first local government generative AI Lab translating academic research into ethical practical AI tools for public services, he runs Explain IT workshops with colleague Claudia Bailey from Smart Documents under Academy Near Future programme at Connect Resource Centre providing basic AI literacy training required by EU AI Act Article Four. Richie Shakespeare is assistant staff officer in Dublin City Council working within Smart Cities tech innovation section examining new emerging technologies, innovative processes and collaboration models making city operate smarter. Co-leading local government generative AI Lab partnership with ADAPT Centre at Trinity College Dublin, he focuses on internal process improvements identifying pain points staff experience whilst maintaining ethical considerations around data sensitivity and personal information protection. Connect with the Gen AI Lab: Website: www.adaptcentre.ie ADAPT Centre at Trinity College Dublin Dublin City Council Smart Cities Division MORE INFORMATION You can learn more about the Sea-Scan project and other cutting-edge research at Trinity College Dublin's ADAPT Centre here: www.adaptcentre.ie/ Adapt Radio is produced by DustPod.io for the ADAPT Centre For more information about ADAPT's groundbreaking AI and data analytics research visit www.adaptcentre.ie/
Show more...
Technology
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Explainable AI in Action: From Tutors to Health Tech
ADAPT Radio
59 minutes 36 seconds
7 months ago
Explainable AI in Action: From Tutors to Health Tech
Every day, AI systems influence how we learn, shop, and make decisions—but to truly support us, AI must communicate in ways tailored to who we are as individuals. In this episode, we share a keynote speech from the ADAPT Annual Scientific Conference that explores Explainable AI and its potential to personalize user experiences. The talk discusses how AI can adapt explanations to users’ unique traits and moment-to-moment states, improving trust and understanding. It highlights real-world applications in intelligent tutoring systems, recommender platforms, and healthcare technologies, illustrating how human-centered AI is reshaping interactions. Join us as we explore the future of AI that not only acts intelligently but also connects meaningfully with each user. Our guest speaker is Professor of Computer Science at the University of British Columbia, Cristina Conati, a pioneer in user modeling, personalization, and explainable AI. THINGS WE SPOKE ABOUT ● Evolving from generic systems to human-centred AI ● Unlocking personalization through multimodal signals ● Improving user trust, engagement, and learning outcomes ● Real-World applications from intelligent tutoring systems to healthcare technologies ● Complexities and ethical considerations of delivery GUEST DETAILS Professor Cristina Conati is a Professor of Computer Science at the University of British Columbia (UBC). She holds a Master’s degree in Computer Science from the University of Milan and both a Master’s and Ph.D. in Intelligent Systems from the University of Pittsburgh. Her research lies at the intersection of Artificial Intelligence (AI), Human-Computer Interaction (HCI), and Cognitive Science, focusing on creating intelligent systems that adapt to individual users' needs. Professor Conati has over 100 peer-reviewed publications and has received multiple Best Paper Awards. She is an ACM Distinguished Member and an AAAI Senior Member. https://www.cs.ubc.ca/people/cristina-conati MORE INFORMATION You can learn more about your AI Literacy in the Classroom here: https://ai-literacy-in-the-classroom.adaptcentre.ie/ Adapt Radio is produced by DustPod.io for the Adapt Centre For more information about ADAPT visit www.adaptcentre.ie/ QUOTES In order to have this AI driven personalization during interaction, what needs to be done is to establish what we call the AI driven personalization loop. - Cristina Conati We're working towards creating intelligent systems that can understand to whom, when and how, to provide explanations of their behaviors. - Cristina Conati The explanation should be designed so that a user can choose at what level of detail to go deeper. - Cristina Conati It would be important to look at different user characteristics that might impact, like user reading proficiency or abilities to process visual information. - Cristina Conati It’s super important to understand interplay between explanations and under or over reliance with AI. - Cristina Conati KEYWORDS #HumancenteredAI #explainableAI #usermodels #multimodal #learning #health
ADAPT Radio
Local government faces challenge implementing generative AI ethically whilst maintaining public trust and data security as new EU AI Act regulations require basic AI literacy training for staff. Khizer Ahmed Biyabani, researcher with ADAPT at Trinity College Dublin and 2025 Digital Transformation Rising IT Star winner, alongside Richie Shakespeare, assistant staff officer Dublin City Council, explain Ireland's first local government generative AI Lab translating academic research into practical ethical AI tools, how retrieval model analysing council meeting minutes avoids hallucinations by training only on specific datasets preventing New South Wales Australia confusion, why four pillars covering governance, education, proof of concepts and enterprise scaling create systematic approach, and how smart gully life buoy monitoring sensors demonstrate broader Smart Cities innovation culture. Khizer Ahmed Biyabani is researcher with ADAPT at Trinity College Dublin recently winning Rising IT Star in Public Sector Award at 2025 Digital Transformation and AI Awards. Co-leading Ireland's first local government generative AI Lab translating academic research into ethical practical AI tools for public services, he runs Explain IT workshops with colleague Claudia Bailey from Smart Documents under Academy Near Future programme at Connect Resource Centre providing basic AI literacy training required by EU AI Act Article Four. Richie Shakespeare is assistant staff officer in Dublin City Council working within Smart Cities tech innovation section examining new emerging technologies, innovative processes and collaboration models making city operate smarter. Co-leading local government generative AI Lab partnership with ADAPT Centre at Trinity College Dublin, he focuses on internal process improvements identifying pain points staff experience whilst maintaining ethical considerations around data sensitivity and personal information protection. Connect with the Gen AI Lab: Website: www.adaptcentre.ie ADAPT Centre at Trinity College Dublin Dublin City Council Smart Cities Division MORE INFORMATION You can learn more about the Sea-Scan project and other cutting-edge research at Trinity College Dublin's ADAPT Centre here: www.adaptcentre.ie/ Adapt Radio is produced by DustPod.io for the ADAPT Centre For more information about ADAPT's groundbreaking AI and data analytics research visit www.adaptcentre.ie/