AIxArtist: A First-Person Tale of Interacting with Artificial Intelligence to Escape Creative Block

The future of the arts and artificial intelligence (AI) is promising as technology advances. As the use of AI in design becomes more widespread, art practice may not be a human-only art form and could instead become a digitally integrated experience. With enhanced creativity and collaboration, arts and AI could work together towards creating artistic outputs that are visually appealing and meet the needs of the artist and viewer. While it is uncertain how far the integration will go, arts and AI will likely influence one another. This workshop pictorial puts forward first-person research that shares interactions between an HCI researcher and AI as they try to escape the creative block. The pictorial paper explores two questions: How can AI support artists' creativity, and what does it mean to be explainable in this context? HIs, ChatGPT and Midjourney were engaged; the result was a series of reflections that require further discussion and explorations in the XAIxArts community: Transparency of attribution, the creation process, ethics of asking, and inspiration vs copying.Comment: 1st International Workshop on Explainable AI for the Arts (XAIxArts), ACM Creativity and Cognition (C&C) 2023. Online, 6 pages. https://xaixarts.github.i

Communities of knowledge and knowledge of communities: An appreciative inquiry into rural wellbeing

This article offers a retrospective examination of the use of appreciative inquiry (AI) in a study on rural wellbeing. It provides a reflection on the rationale for choosing AI as a suitable methodology, critiques the application of AI in rural settings and considers its suitability for this inquiry into individual and community wellbeing. The article also considers the value of AI as a participatory research approach for community-university partnerships. A review of the literature on AI is distilled to examine the limitations as well as the utility of AI. Through an effective use of AI, communities of knowledge can be fostered and the knowledge of communities can be valued and harvested to enhance the wellbeing of rural communities.Keywords: appreciative inquiry, wellbeing, rural community, community-university partnership

Post transfer of undertakings psychological contract violation: modelling antecedents and outcomes

Msc Human Resource ManagementThe purpose of this study was to test a model of antecedents and outcomes of psychological contract violation based on social exchange theory within the context of an acquisition. A cross-sectional quantitative survey research design was used. A total of 200 office and operational employees who had recently gone through a TUPE transfer process as the result of an acquisition partiCipated in the study. PartiCipants were] asked to complete a questionnaire to measure their perceptions of procedural justice and perceived organisational support experienced at the point of TUPE and the resulting psychological contract violation and employee engagement post-TUPE. Multiple regression analysis through SPSS 19.0 was used as the method of analysis. Results indicate that procedural justice and perceived organisational support predicts psychological contract violation. Results indicate that psychological contract violation in turn predicts employee engagement. In addition, psychological contract violation mediates the relationship between procedural justice, perceived organisational support and employee engagement. Therefore, support has been found to state that the psychological contract can be used to explain the relationship between employee perceptions of fairness and support during a TUPE and their post-TUPE reaction of engagement. The study used cross-sectional and self-reported data which limits the conclusions that can be confirmed about causality and also raises concerns about common method bias. Furthermore, it is acknowledged that various extraneous or confounding variable may have an influence on the variables. The study offers insights into employees' responses within the context of TUPE transfers as explored through the psychological contract within the social exchange theory the framework

Who Should Bear the Risk When Self-Driving Vehicles Crash?

The moral importance of liability to harm has so far been ignored in the lively debate about what self-driving vehicles should be programmed to do when an accident is inevitable. But liability matters a great deal to just distribution of risk of harm. While morality sometimes requires simply minimizing relevant harms, this is not so when one party is liable to harm in virtue of voluntarily engaging in activity that foreseeably creates a risky situation, while having reasonable alternatives. On plausible assumptions, merely choosing to use a self-driving vehicle typically gives rise to a degree of liability, so that such vehicles should be programmed to shift the risk from bystanders to users, other things being equal. Insofar vehicles cannot be programmed to take all the factors affecting liability into account, there is a pro tanto moral reason not to introduce them, or restrict their use

Ants don't have friends: thoughts on socially intelligent agents

The question what is an agent? has been under dis cussion for many years. However, a consensus exists that the term 'agent' only makes sense in a multi-agent context - namely if there are at least two agents and assuming interaction and or communication between the agents. Agent research is generally done fairly independently in dfferent research areas, separated by the nature of the agents - natural or articial. This paper presents some thoughts on agency and sociality. Social intelligence is studied in the context of human style forms of social behaviour. Issues like embodiment, believability, rationality, social understanding,and different levels of social organisation and control are discussed

Beneficial Artificial Intelligence Coordination by means of a Value Sensitive Design Approach

This paper argues that the Value Sensitive Design (VSD) methodology provides a principled approach to embedding common values in to AI systems both early and throughout the design process. To do so, it draws on an important case study: the evidence and final report of the UK Select Committee on Artificial Intelligence. This empirical investigation shows that the different and often disparate stakeholder groups that are implicated in AI design and use share some common values that can be used to further strengthen design coordination efforts. VSD is shown to be both able to distill these common values as well as provide a framework for stakeholder coordination