Forget the Singularity, its mundane artificial intelligence that should be our immediate concern

Fuelled by Science Fiction and the pronouncements of Silicon Valley gurus such as Elon Musk, the ‘Singularity’ is arguably the biggest geek myth of our time and is distracting us from addressing the numerous problems emerging with the increasing use of Artificial intelligence (AI). Artificial General Intelligence (AGI) is often perceived to mean super human like intelligence such as the ones depicted in movies like Her (2013) and Ex Machina (2014). These anthropomorphic representations of AI besiege our attention away from the very real threat of biases introduced through Machine Learning (ML). In this paper we will consider whether current practices within Human-Centred Design (HCD) permit designers to consider interactions and services in which non-human algorithms play a significant role and consider how approaches inspired by Object Oriented Ontology (OOO) may offer newperspectives for framing design activities concerning AI

A (queer) CEO society? Lesbians Who Tech and the politics of extra-ordinary homonormativity

The article explores the queer politics of homo/anti-normativity of Lesbians Who Tech, a corporate network for lesbian and queer women. Drawing from ethnographic fieldwork, I argue that critiques of ‘gay ordinariness’ are unable to capture extant ‘extra-ordinary’ trajectories of queer capitalist incorporation. I trace the ways in which corporate culture, leadership and values are currently reshaping queer life and politics in terms of a ‘CEO society’ to demonstrate that we should avoid assuming that anti-normativity is always on the side of the progressive and instead consider how this is taken up by the very institutions it is intended to contest

Spartan Daily, October 27, 1959

Volume 47, Issue 25https://scholarworks.sjsu.edu/spartandaily/3941/thumbnail.jp

Factors of the Use of AI Technology Influencing Community Security in UAE

This paper presents a study on addressing 27 factors of the use of AI technology influencing community security in UAE. The factors are categorised in five groups namely AI Ethics; Compatibility; Complexity; Management support; and Staff Capability. This study used a questionnaire survey with the Abu Dhabi Police department as a case study for community security. The survey managed to 138 valid responses and analysed descriptively. In deciding the level of influence. It was found that 16 of the factors are having very high influence while the others are having high influence. In ranking analysis, it was found that the highest rank of AI technology's factors influence community security in each group is for compatibility (COMPA5), which underscores the harmony between an individual's skills and the employed AI technologies; complexity (COMPLEX2), highlighting the efficiency of AI-driven systems, particularly in rapid knowledge acquisition through online conferencing; management support (MS4), spotlighting the proactive endorsement and direction from organizational management in AI security technology implementation; ethics of AI (ETH3), accentuating the individual's commitment to ethical considerations while employing AI security technologies; and staff capability (SC2), which reflects the individual's proficiency and competence in effectively harnessing AI technologies for enhanced community security measures. Collectively, these factors shed light on the multifaceted ways AI technologies impact and shape the realm of UAE community security

The role of hope in bereavement for chinese people in hong kong

This study examined the relationships between hope and the emotional reactions of bereaved Chinese people in Hong Kong. Three groups-a clinical bereaved sample (n=140), a general bereaved sample (n=152), and a non-bereaved comparison sample (n=144)-were included. Significant differences in 3 hope measures, hope (pathway), hope (agency) and hope (total), were found between the 3 groups. Moderately strong correlations were found between hope measures and emotional reactions. A mediating effect for hope (agency), but not for hope (pathway) and hope (total), was found in the relationship between bereavement. Possibilities for working with Chinese bereaved people and implications for research and training were discussed. © Taylor & Francis Group, LLC.postprin

Antiques Roadshow: The Object of Learning

Even as school administrators were cutting the unique feature of museum Educators from the school district budget, museum directors in Philadelphia were calling teaching through objects, \u27lightning in a bottle.’ Educating through objects that have been crafted by talented artisans, owned by famous people, cherished by their association with loved ones, or inanimate witnesses to important historical moments is a recognized and immediate path to learning in the arts. In the search for the authentic, while simultaneously embracing the virtual, Americans participate in shaping a broad understanding of popular culture and accumulated history. Americans are having a love affair with bric-a-brac, yard sales, estate sales, and flea markets. A parallel development can be seen in the advent of genealogy as a hobby in diagramming family trees. Learning from actual objects fuses the critical processes of observation, analysis and evaluation with an appreciation of technical and design skills. Object learning is a type of cultural mirror

Cultivating Capabilities for Creative Industry Upstarts

Article published in the Michigan State International Law Review

Semantic data mining and linked data for a recommender system in the AEC industry

Even though it can provide design teams with valuable performance insights and enhance decision-making, monitored building data is rarely reused in an effective feedback loop from operation to design. Data mining allows users to obtain such insights from the large datasets generated throughout the building life cycle. Furthermore, semantic web technologies allow to formally represent the built environment and retrieve knowledge in response to domain-specific requirements. Both approaches have independently established themselves as powerful aids in decision-making. Combining them can enrich data mining processes with domain knowledge and facilitate knowledge discovery, representation and reuse. In this article, we look into the available data mining techniques and investigate to what extent they can be fused with semantic web technologies to provide recommendations to the end user in performance-oriented design. We demonstrate an initial implementation of a linked data-based system for generation of recommendations

Artificial morality: Making of the artificial moral agents

Abstract: Artificial Morality is a new, emerging interdisciplinary field that centres around the idea of creating artificial moral agents, or AMAs, by implementing moral competence in artificial systems. AMAs are ought to be autonomous agents capable of socially correct judgements and ethically functional behaviour. This request for moral machines comes from the changes in everyday practice, where artificial systems are being frequently used in a variety of situations from home help and elderly care purposes to banking and court algorithms. It is therefore important to create reliable and responsible machines based on the same ethical principles that society demands from people. New challenges in creating such agents appear. There are philosophical questions about a machine’s potential to be an agent, or mora l agent, in the first place. Then comes the problem of social acceptance of such machines, regardless of their theoretic agency status. As a result of efforts to resolve this problem, there are insinuations of needed additional psychological (emotional and cogn itive) competence in cold moral machines. What makes this endeavour of developing AMAs even harder is the complexity of the technical, engineering aspect of their creation. Implementation approaches such as top- down, bottom-up and hybrid approach aim to find the best way of developing fully moral agents, but they encounter their own problems throughout this effort