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Your search for "SASH92 – Social AI through the Looking Glass" yielded 51374 hits

Luftföroreningars påverkan på klimat, hälsa och den gröna omställningen - hur samspelet mellan teknik och medicin löser komplexa frågor

Varje år orsakar luftföroreningar 7 miljoner dödsfall globalt. Klimatet både värms och kyls av luftföroreningar, vilket gör dem till en av de största osäkerhetsfaktorerna i klimatmodeller. Den gröna omställningen och vår strävan efter cirkulär ekonomi kommer innebära att några luftföroreningskällor försvinner, men också att nya kommer att introduceras. Dessa komplexa problem behöver angripas transEvery year, 7 million people die due to exposure to air pollution. Air pollution both heats and cools global temperatures, hence it is one of the major reasons for uncertainties in climate models. The green transition and our aim for a circular economy will remove some of our current air pollution sources but introduce new ones. These complex questions demand a transdisciplinary approach. This cou

Harnessing Artificial Intelligence: Risk Assessment and Sustainable Business Model Pathways for the Industrial Sector

The global industrial sector is a highly polluting and greenhouse gas-emitting sector. As industries increasingly explore Artificial Intelligence (AI) to enhance operational efficiency and drive innovation, questions emerge regarding its alignment with sustainability objectives. While AI is often positioned as a key enabler of digital transformation, its sustainable integration into industrial ope

A Lutheran in the Holy Land: Michael Eneman´s Journey, 1711-12

The collection examines the view of the holiness in the "Holy Land" through the writings of pilgrims, travelers, and missionaries. The period extends from 1517, the Ottoman conquest of Syria and Palestine, to the Franco-British treaty of Utrecht in 1713 and the consolidation of European hegemony over the Mediterranean. The writers in the collection include Christians (Orthodox, Protestant, and Cat

Leveraging Machine Learning Expertise for Healthcare Innovation: A Case Study in the Biomedical Market with Focus on Cervical Cancer Screening

AI för Livmoderhalscancerscreening: Nästa Kapitel i Sjukvårdens Utveckling? Svensk sjukvård möter idag stora utmaningar med hårt belastad personal och ökande hälsodata. Samtidigt växer den medicintekniska marknaden snabbt med nya innovationer som präglas av framfarten av artificiell intelligens (AI). Men vilket område inom sjukvården har störst potential för AI?The biomedical market is experiencing rapid growth, driven by the increasing volume of health data and the need for advanced technologies to manage and analyze this information. At the same time, the industry is facing additional challenges such as the shortage of healthcare professionals and an aging population. Artificial intelligence (AI) has the potential to become essential in this industry,

Distribution of Responsibility for Artificial Intelligence Development

AI Lund 2019 revisited 17 June 2020 The Corona crisis prevents the physical meetings and discussions that have so far been a central part of AI Lund's outreach activities. But in order to continue dialogue and joint learning, we now try a series of online lunch seminars. Together we watch one or more presentations from previous AI Lund events for 20-30 minutes. Then an expert, often. the original

https://www.ai.lu.se/2020-06-17 - 2025-11-07

Generative AI in higher education. Big data, big promises, big disappointment?

26 November 2024 13:15 to 15:00 | Seminar Join us for a seminar with Associate Professor Cormac McGrath as we explore the promises and challenges of AI chatbots in higher education. Discover insights from two key studies that examine the impact of AI on teaching and learning, and engage in a critical discussion on the future of education in the AI era. Cormac McGrath, Associate professor in educat

https://www.staff.lu.se/calendar/generative-ai-higher-education-big-data-big-promises-big-disappointment - 2025-11-08

Engaging consumers through artificially intelligent technologies: Systematic review, conceptual model, and further research

While consumer engagement (CE) in the context of artificially intelligent (AI-based) technologies (e.g., chatbots, smart products, voice assistants, or autonomous cars) is gaining traction, the themes characterizing this emerging, interdisciplinary corpus of work remain indeterminate, exposing an important literature-based gap. Addressing this gap, we conduct a systematic review of 89 studies usin

Sustainable urbanism in glitch : Queering singular visions of sustainable urban development

SUSTAINABILITY is increasingly framed as a task to be solved in and through cities, not least by planning and designing built environments that ‘nudges’ individuals towards sustainable ways of living. Realising visions of a sustainable urban future is thus at least partially dependent upon affecting individual and collective behaviors. So, what happens when coherent visions of sustainable urban de

Who decides what's trustworthy? Standards development for the EU AI Act

Lunch seminar recorded 5 March 2025 Topic: Who decides what's trustworthy? Standards development for the EU AI Act Standards development for the EU AI Act March 2025 (pdf) Resources and referencesCorporate Europe Observatory (2025). Bias baked in: How Big Tech sets its own AI standards. https://corporateeurope.org/en/2025/01/bias-baked.Edwards, Lilian (2022). Expert explainer: The EU AI Act propos

https://www.ai.lu.se/2025-03-05 - 2025-11-07

Cancer pathway network analysis using cellular automata

Identification of cancer pathways is the central goal in the cancer gene expression data analysis. Data mining refers to the process analyzing huge data in order to find useful pattern. Data classification is the process of identifying common properties among a set of objects and grouping them into different classes. A cellular automaton is a discrete, dynamical system with simple uniformly interc

The Impact of Prompt Phrasing on AI-based Chatbot Effectiveness and User Experience

Denna kandidatuppsats utforskar hur vardagliga användare, specifikt icke-experter inom högre utbildning, interagerar med AI-baserade chattbottar genom naturliga språkprompter. Tidigare forskning har främst fokuserat på att förbättra modellernas prestanda och förstå promptmekanismer, men har i liten utsträckning uppmärksammat hur användare utan teknisk expertis upplever och formar dessa interaktion