Greenport West-Holland en de EconomicBoard Zuid Holland werken samen aan de ontwikkeling en uitvoering van een human capitalagenda (HCA) voor de provincie en de Greenport. Hiervoor wordt in juni –juli 2019 een Human CapitalAkkoord gesloten met meerdere sectoren waaronder de Greenport. Onderdeel van het akkoord is een gezamenlijke investering in een eerste pilot (2019 –2022) met een focus op van Werk naar Werk. Greenport West-Holland heeft aan de hand van de bestaande HCA van de topsector tuinbouw & uitgangsmaterialen, Techniek pact, Groen pact, ambities van Glastuinbouw Nederland, AVAG, handel en de inbreng vanuit de mooie voorbeelden in de regio (de pareltjes), individuele ondernemers en gemeenten een samenhangend pakket van interventies uitgewerkt. Deze interventies sluiten voor een groot deel aan op de EBZ pilot doelstellingen (VET), maar niet allemaal. De interventies maken zoveel mogelijk gebruik van bestaande oplossingen (pareltjes) die versterkt en verbonden worden.
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Deze agenda is een strategisch kader voor human capitalontwikkelingen in de creatieve industrie in de Metropoolregio Amsterdam voor de komende vier jaar (2012-2016). De agenda bestrijkt de gehele breedte van de creatieve industrie en richt zich op een interdisciplinaire aanpak en op het stimuleren van een onderzoekende en ondernemende cultuur in het onderwijs. Leidende thema’s zijn: • onderwijs over ondernemerschap;; • vraag en aanbod op elkaar afstemmen;; • alumni & permanente educatie;; • internationalisering. De Creatieve Industrie is de belangrijkste top sector voor de Metropoolregio Amsterdam (CBS monitor topsectoren 2012). Voor de beschrijving van de Creatieve Industrie in de Metropoolregio is een benadering vanuit drie clusters aangehouden: Kunsten & Cultureel Erfgoed, Media & Entertainment, Creatieve Zakelijke Diensten (reclame, mode vormgeving, architectuur). Het Kernteam Creatieve Industrie MRA wil een belangrijke bijdrage leveren aan de Europese en landelijke ambitie om Nederland in 2020 de meest creatieve economie van Europa te laten zijn. Dit vraagt om continue innovatie, slimme en creatieve oplossingen. Daarvoor is slim, creatief, jong (top)talent onmisbaar. Bij deze ambitie hoort een naadloze verbinding en samenwerking tussen bedrijfsleven en kennis- en onderwijsinstellingen. Het concurrerende klimaat, dynamiek en tempo in de sector vragen om snelle toepassing van nieuwe kennis en technologie en om een voortdurende instroom van nieuw (internationaal) creatief (top)talent en permanente bijscholing. Naast een economische waarde heeft de creatieve sector ook een maatschappelijk toegevoegde waarde. Met name de subsector Kunsten & Cultureel Erfgoed bevordert, met een vaak cross-sectorele aanpak, participatie en cohesie van diverse groepen in de samenleving. De toegevoegde waarde van de creatieve industrie wordt door andere sectoren nog onvoldoende op waarde geschat en benut. Voor professionals en aankomend talent is het cruciaal dat zij de juiste kennis en vaardigheden ontwikkelen om de meerwaarde en identiteit van de creatieve industrie over het voetlicht te brengen. De ondertekenaars van deze HCA hebben de intentie de ingezette samenwerking nog concreter vorm te geven. Het Centre of Expertise, Centrum voor Innovatief Vakmanschap en de Amsterdam Campus zijn hierbij dé vehikels om concrete afspraken en projecten tussen de drie partijen uit de gouden driehoek te realiseren. Prioriteit hierbij is de vraagarticulatie vanuit het bedrijfsleven verder aan te scherpen, afspraken hierover tussen partijen zijn reeds gemaakt. AIM wordt gevraagd twee per jaar een bijeenkomst te organiseren om concrete acties met elkaar te benoemen. Deze HCA, met bijbehorende ambitie en invulling, zal dan ook jaarlijks door het Kernteam geëvalueerd en zo nodig bijgesteld worden. Hierbij blijft afstemming met de MRA –agenda’s: HCA ICT en HCA Toerisme en Congressen gewenst.
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Artificially intelligent agents increasingly collaborate with humans in human-agent teams. Timely proactive sharing of relevant information within the team contributes to the overall team performance. This paper presents a machine learning approach to proactive communication in AI-agents using contextual factors. Proactive communication was learned in two consecutive experimental steps: (a) multi-agent team simulations to learn effective communicative behaviors, and (b) human-agent team experiments to refine communication suitable for a human team member. Results consist of proactive communication policies for communicating both beliefs and goals within human-agent teams. Agents learned to use minimal communication to improve team performance in simulation, while they learned more specific socially desirable behaviors in the human-agent team experiment
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This exploration with ChatGPT underscores two vital lessons for human rights law education. First, the importance of reflective and critical prompting techniques that challenge it to critique its responses. Second, the potential of customizing AI tools like ChatGPT, incorporating diverse scholarly perspectives to foster a more inclusive and comprehensive understanding of human rights. It also shows the promise of using collaborative approaches to build tools that help create pluriversal approaches to the study of human rights law.
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The realization of human rights standards depends in part on the commitment of local actors. It can be argued that local public service professionals such as social workers can also be regarded as key players. The possible role of social workers becomes imperative if these professionals are working in a policy context that is not congruent with human rights. If existing laws or policies cause or maintain disrespect for human rights, social workers are in a position to observe that this is having an adverse impact on clients. When social workers are regarded as human rights actors, the question arises how they can or should respond to law and policy that impedes them in carrying out their work with respect for human rights. This article adds to existing theories on social workers as human rights actors by examining the practices of social professionals working in such a challenging policy context. The research took place among professionals in social district teams in the city of Utrecht, the Netherlands. Following a series of decentralizations and austerity measures the social care landscape in the Netherlands has changed drastically over the last few years. As a result, social workers may find themselves on the one hand trying to realize the best possible care for their clients while on the other hand dealing with new laws and policy expectations focused on self-reliance and diminished access to specialist care. The article explores how social professionals’ responses to barriers in access to care affect human rights requirements. In doing so, this socio-legal study provides insight into the ways in which everyday social work relates to the realization of human rights at the local level.
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Reflectie over het menselijk lichaam als human resource. Dialoog tussen de auteurs als onderzoeker, kunstenaar en organisatiekundige over presentie, onthulling en interactie.
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The importance of specific professions for human rights realization is increasingly recognized. Journalists, teachers, and civil servants are all considered to play a role because their work affects individual rights. This is also the case for social workers. The connection between social work and human rights is evident in the large amount of literature explaining how human rights relate to social work. At the same time there is more attention for human rights localization. These fields of knowledge are related: social workers are local professionals and if they start applying human rights in their work this may influence human rights localization. This article contributes to existing debates on human rights localization by reflecting on the potential role of social workers in local human rights efforts in the Netherlands. Since human rights localization in general and human rights application in social work are recent phenomena in the Netherlands this provides a useful case study for a qualitative analysis on whether and how social workers can be regarded as actors in human rights localization. By connecting different actors that are said to play a role in human rights localization to proposed forms of human rights application by social workers this article identifies three possible roles for social workers in human rights localization: as human rights translators, as human rights advocates, and as human rights practitioners.
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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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The increasing use of AI in industry and society not only expects but demands that we build human-centred competencies into our AI education programmes. The computing education community needs to adapt, and while the adoption of standalone ethics modules into AI programmes or the inclusion of ethical content into traditional applied AI modules is progressing, it is not enough. To foster student competencies to create AI innovations that respect and support the protection of individual rights and society, a novel ground-up approach is needed. This panel presents on one such approach, the development of a Human-Centred AI Masters (HCAIM) as well as the insights and lessons learned from the process. In particular, we discuss the design decisions that have led to the multi-institutional master’s programme. Moreover, this panel allows for discussion on pedagogical and methodological approaches, content knowledge areas and the delivery of such a novel programme, along with challenges faced, to inform and learn from other educators that are considering developing such programmes.
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This review is the first step in a long-term research project exploring how social robotics and AI-generated content can contribute to the creative experiences of older adults, with a focus on collaborative drawing and painting. We systematically searched and selected literature on human-robot co-creativity, and analyzed articles to identify methods and strategies for researching co-creative robotics. We found that none of the studies involved older adults, which shows the gap in the literature for this often involved participant group in robotics research. The analyzed literature provides valuable insights into the design of human-robot co-creativity and informs a research agenda to further investigate the topic with older adults. We argue that future research should focus on ecological and developmental perspectives on creativity, on how system behavior can be aligned with the values of older adults, and on the system structures that support this best.
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