Artificial Intelligence (AI) offers organizations unprecedented opportunities. However, one of the risks of using AI is that its outcomes and inner workings are not intelligible. In industries where trust is critical, such as healthcare and finance, explainable AI (XAI) is a necessity. However, the implementation of XAI is not straightforward, as it requires addressing both technical and social aspects. Previous studies on XAI primarily focused on either technical or social aspects and lacked a practical perspective. This study aims to empirically examine the XAI related aspects faced by developers, users, and managers of AI systems during the development process of the AI system. To this end, a multiple case study was conducted in two Dutch financial services companies using four use cases. Our findings reveal a wide range of aspects that must be considered during XAI implementation, which we grouped and integrated into a conceptual model. This model helps practitioners to make informed decisions when developing XAI. We argue that the diversity of aspects to consider necessitates an XAI “by design” approach, especially in high-risk use cases in industries where the stakes are high such as finance, public services, and healthcare. As such, the conceptual model offers a taxonomy for method engineering of XAI related methods, techniques, and tools.
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While the technical application domain seems to be to most established field for AI applications, the field is at the very beginning to identify and implement responsible and fair AI applications. Technical, non-user facing services indirectly model user behavior as a consequence of which unexpected issues of privacy, fairness and lack of autonomy may emerge. There is a need for design methods that take the potential impact of AI systems into account.
Explainable Artificial Intelligence (XAI) aims to provide insights into the inner workings and the outputs of AI systems. Recently, there’s been growing recognition that explainability is inherently human-centric, tied to how people perceive explanations. Despite this, there is no consensus in the research community on whether user evaluation is crucial in XAI, and if so, what exactly needs to be evaluated and how. This systematic literature review addresses this gap by providing a detailed overview of the current state of affairs in human-centered XAI evaluation. We reviewed 73 papers across various domains where XAI was evaluated with users. These studies assessed what makes an explanation “good” from a user’s perspective, i.e., what makes an explanation meaningful to a user of an AI system. We identified 30 components of meaningful explanations that were evaluated in the reviewed papers and categorized them into a taxonomy of human-centered XAI evaluation, based on: (a) the contextualized quality of the explanation, (b) the contribution of the explanation to human-AI interaction, and (c) the contribution of the explanation to human- AI performance. Our analysis also revealed a lack of standardization in the methodologies applied in XAI user studies, with only 19 of the 73 papers applying an evaluation framework used by at least one other study in the sample. These inconsistencies hinder cross-study comparisons and broader insights. Our findings contribute to understanding what makes explanations meaningful to users and how to measure this, guiding the XAI community toward a more unified approach in human-centered explainability.
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Developing and testing several AR and VR concepts for SAMSUNG (Benelux) Samsung and Breda University of Applied Sciences decided to work together on developing and testing several new digital media concepts with a focus on VR and gaming. This collaboration has led to several innovative projects and concepts, among others: the organisation of the first Samsung VR jam in which game and media students developed new concepts for SAMSUNG GEAR in 24 hours, the pre-development of a VR therapy concept (Fear of Love) created by CaptainVR, the Samsung Industry Case in which students developed new concepts for SAMSUNG GEAR (wearables), the IGAD VR game pitch where over 15 VR game concepts were created for SAMSUNG VR GEAR and numerous projects in which VR concepts are developed and created using new SAMSUNG technologies. Currently we are co-developing new digital HRM solutions.
Beweegrichtlijnen geven aan hoeveel beweging nodig is voor een goede gezondheid van jong tot oud. Voor een gezonde leefstijl van kinderen zijn bewegen, samen spelen, samen leren en samen werken van groot belang, maar dat geldt ook voor ouderen. Picoo brengt het belang van bewegen en samenzijn bij elkaar. Dat zorgt voor een goede ontwikkeling van het kind, het welzijn van ouderen en het verstevigen van het bewegen en samenzijn in de maatschappij. Project: Actief Plezier met Picoo: Jong en Oud in Beweging! Vraag: Draagt Picoo bij aan meer beweging en verbinding tussen kinderen en ouderen door samen te bewegen? Doel: Het inzetten van Picoo leidt tot meer samen beweging, waardoor welzijn van ouderen en ontwikkeling van het kind en meer beweging wordt vergroot. Methode: Mixed method observatieonderzoek /survey/kort gesprek Kinderen tot 18 jaar en senioren 65 plus met een zorgvraag T0: kinderen en ouderen krijgen uitleg over het gebruik van Picoo Interventie: Picoo is een controller en spelcomputer ineen, ontwikkeld om kinderen (maar ook volwassen) interactief buiten te laten spelen.6 Tijdens de actieve games heeft elke deelnemer een eigen controller. De controllers staan met elkaar in verbinding. T1 Tijdens het spel wordt d.m.v. een observatielijst gekeken hoe jong en oud reageren op het samen spelen met Picoo. T2 Na het spel geven kinderen en ouderen door middel van Visual Analogue Scale (smileys) wat hun ervaringen zijn. T3 Na het spel gaan kinderen en ouderen kort met elkaar in gesprek over hun ervaringen Uitvoering: Interdisciplinaire mix van studenten Verpleegkunde, Fysiotherapie, Mens en Techniek en Social Work Eindproduct: Nieuwe testcase en input voor doorontwikkeling Picoo richting verbinding jong en oud. Kennis over mogelijkheden/ervaringen over verbinding door beweging wordt gedissemineerd naar de praktijk en onderwijs. Resultaten worden gerapporteerd en gepubliceerd op relevante sites zoals bijvoorbeeld kenniscentrum sport en bewegen, zorginstellingen en scholen.
The project’s aim is to foster resilient learning environments, lessen early school leaving, and give European children (ages 4 -6) a good start in their education while providing and advancing technical skills in working with technology that will serve them well in life. For this purpose, the partnership has developed age appropriate ICT animation tools and games - as well as pedagogical framework specific to the transition phase from kindergarten to school.
