Validity of an indigenously developed Sri Jayadeva Institute of Cardiovascular Sciences and Research-Quality of Life Questionnaire in heart failure patients of a tertiary cardiac center

Autor: Devaraju Chandagalu Javaregowda, Veena Nanjappa, K S Sadananda, C N Manjunath

Publikováno v: Journal of Clinical and Preventive Cardiology, Vol 10, Iss 4, Pp 139-143 (2021)

Introduction: Heart failure (HF) causes a high impact on morbidity and mortality; it also affects the quality of life (QOL) and psychometric components. Aim: To develop a simple module to assess QOL including various parameters such as functional sta

Externí odkaz: https://doaj.org/article/d7b2a555f1cc4b5bb05bf851f987653a

Mapping the individual, social, and biospheric impacts of Foundation Models

Autor: Hernández, Andrés Domínguez, Krishna, Shyam, Perini, Antonella Maia, Katell, Michael, Bennett, SJ, Borda, Ann, Hashem, Youmna, Hadjiloizou, Semeli, Mahomed, Sabeehah, Jayadeva, Smera, Aitken, Mhairi, Leslie, David

Publikováno v: In Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency (FAccT '24). Association for Computing Machinery, New York, NY, USA, 776-796

Responding to the rapid roll-out and large-scale commercialization of foundation models, large language models, and generative AI, an emerging body of work is shedding light on the myriad impacts these technologies are having across society. Such res

Externí odkaz: http://arxiv.org/abs/2407.17129

AI Sustainability in Practice Part Two: Sustainability Throughout the AI Workflow

Autor: Leslie, David, Rincon, Cami, Briggs, Morgan, Perini, Antonella, Jayadeva, Smera, Borda, Ann, Bennett, SJ, Burr, Christopher, Aitken, Mhairi, Katell, Michael, Fischer, Claudia, Wong, Janis, Garcia, Ismael Kherroubi

The sustainability of AI systems depends on the capacity of project teams to proceed with a continuous sensitivity to their potential real-world impacts and transformative effects. Stakeholder Impact Assessments (SIAs) are governance mechanisms that

Externí odkaz: http://arxiv.org/abs/2403.15404

AI Sustainability in Practice Part One: Foundations for Sustainable AI Projects

Autor: Leslie, David, Rincon, Cami, Briggs, Morgan, Perini, Antonella, Jayadeva, Smera, Borda, Ann, Bennett, SJ, Burr, Christopher, Aitken, Mhairi, Katell, Michael, Fischer, Claudia, Wong, Janis, Garcia, Ismael Kherroubi

Sustainable AI projects are continuously responsive to the transformative effects as well as short-, medium-, and long-term impacts on individuals and society that the design, development, and deployment of AI technologies may have. Projects, which c

Externí odkaz: http://arxiv.org/abs/2403.14635

No prejudice! Fair Federated Graph Neural Networks for Personalized Recommendation

Autor: Agrawal, Nimesh, Sirohi, Anuj Kumar, Jayadeva, Kumar, Sandeep

Ensuring fairness in Recommendation Systems (RSs) across demographic groups is critical due to the increased integration of RSs in applications such as personalized healthcare, finance, and e-commerce. Graph-based RSs play a crucial role in capturing

Externí odkaz: http://arxiv.org/abs/2312.10080