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Full-Text Articles in Physical Sciences and Mathematics
Enhancing Early-Stage Xai Projects Through Designer-Led Visual Ideation Of Ai Concepts, Helen Sheridan, Emma Murphy, Dympna O'Sullivan
Enhancing Early-Stage Xai Projects Through Designer-Led Visual Ideation Of Ai Concepts, Helen Sheridan, Emma Murphy, Dympna O'Sullivan
Academic Posters Collection
The pervasive use of artificial intelligence (AI) in processing users’ data is well documented with the use of AI believed to profoundly change users’ way of life in the near future. However, there still exists a sense of mistrust among users who engage with AI systems some of this stemming from lack of transparency, including users failing to understand what AI is, what it can do and its impact on society. From this, the emerging discipline of explainable artificial intelligence (XAI) has emerged, a method of designing and developing AI where a systems decisions, processes and outputs are explained and …
Unlocking The Black Box: Evaluating Xai Through A Mixed Methods Approach Combining Quantitative Standardised Scales And Qualitative Techniques, Helen Sheridan, Dympna O'Sullivan, Emma Murphy
Unlocking The Black Box: Evaluating Xai Through A Mixed Methods Approach Combining Quantitative Standardised Scales And Qualitative Techniques, Helen Sheridan, Dympna O'Sullivan, Emma Murphy
Academic Posters Collection
In 1950 when Alan Turing first published his groundbreaking paper, computing machinery and intelligence and asked “Can machines think?” a new era of research exploring the intelligence of digital computers and their ability to deceive and/or imitate a human was ignited. From these first explorations of AI to modern day artificial intelligence and machine learning systems many advances, breakthroughs and improved algorithms have been developed usually advancing at an exponential pace. This has resulted in the pervasive use of AI systems in the processing of data. Concerns have been expressed related to biased decisions by AI systems around the processing …