1,636 research outputs found

    Multidisciplinary perspectives on Artificial Intelligence and the law

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    This open access book presents an interdisciplinary, multi-authored, edited collection of chapters on Artificial Intelligence (‘AI’) and the Law. AI technology has come to play a central role in the modern data economy. Through a combination of increased computing power, the growing availability of data and the advancement of algorithms, AI has now become an umbrella term for some of the most transformational technological breakthroughs of this age. The importance of AI stems from both the opportunities that it offers and the challenges that it entails. While AI applications hold the promise of economic growth and efficiency gains, they also create significant risks and uncertainty. The potential and perils of AI have thus come to dominate modern discussions of technology and ethics – and although AI was initially allowed to largely develop without guidelines or rules, few would deny that the law is set to play a fundamental role in shaping the future of AI. As the debate over AI is far from over, the need for rigorous analysis has never been greater. This book thus brings together contributors from different fields and backgrounds to explore how the law might provide answers to some of the most pressing questions raised by AI. An outcome of the Católica Research Centre for the Future of Law and its interdisciplinary working group on Law and Artificial Intelligence, it includes contributions by leading scholars in the fields of technology, ethics and the law.info:eu-repo/semantics/publishedVersio

    LIPIcs, Volume 251, ITCS 2023, Complete Volume

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    LIPIcs, Volume 251, ITCS 2023, Complete Volum

    Current and Future Challenges in Knowledge Representation and Reasoning

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    Knowledge Representation and Reasoning is a central, longstanding, and active area of Artificial Intelligence. Over the years it has evolved significantly; more recently it has been challenged and complemented by research in areas such as machine learning and reasoning under uncertainty. In July 2022 a Dagstuhl Perspectives workshop was held on Knowledge Representation and Reasoning. The goal of the workshop was to describe the state of the art in the field, including its relation with other areas, its shortcomings and strengths, together with recommendations for future progress. We developed this manifesto based on the presentations, panels, working groups, and discussions that took place at the Dagstuhl Workshop. It is a declaration of our views on Knowledge Representation: its origins, goals, milestones, and current foci; its relation to other disciplines, especially to Artificial Intelligence; and on its challenges, along with key priorities for the next decade

    Finding an effective problem-solving heuristic instructional approach for circle geometry

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    Abstracts in English, Afrikaans and ZuluThis research study carried out an investigation into finding a contemporary problem- solving instructional approach that will be effective for teaching and learning of mathematics in South African schools, with specific focus on circle geometry. Prior to conducting this study, a retrospection was done into the mathematical practices implemented, in schools in South Africa, by researchers, educational practitioners and stakeholders such as Non-Governmental Organisations. The aforementioned unanimously identified the instructional approaches for teaching and learning of mathematics, particularly, the traditional teaching and learning approach, as problematic and counter-productive, and this might be contributing to poor learners’ performances. In a bid to replace the obsolete traditional approach, the researcher in this study recommended: “teaching thinking skills” and “teaching effective problem-solving instructional approaches” as more appropriate. With regards to teaching thinking skills, the infusion approach (teaching thinking skills, along with content instructions), was highlighted. For teaching effective problem-solving, Polya’s Problem-Solving Model, was investigated. To ensure an effective design and implementation of the proposed problem-solving instructional approach, the APOS theory (ACE teaching cycle) was adopted. Also, the teaching and learning of circle geometry was carried out in a collaborative classroom setting. This proposed instructional approach was tentatively, labelled as “IPAC mathematics problem-solving instructional model’’ or simply, the “IPAC model”. This was an acronym for the four elements of this new approach, namely - the infusion approach, Polya’s approach, and APOS theory in a collaborative learning classroom. Two groups of Grade 11 mathematics learners served as participants for this study: group 1 - 11A had 30 learners (the control group) and group 2- 11B had 32 learners (the experimental group). Data collected methods for this study were: observations of participants in their natural classroom settings, recorded videos, questionnaires, photograph of participants’ work (classwork/homework and standardized tests). This study followed a mixed-method research design, hence, both quantitative and qualitative data analyses procedures were implemented. The quantitative data was analysed by implementing inferential statistics and descriptive statistics, while the APOS theory analysis was used to analyse the qualitative facet of the collected data. During the APOS theory analysis, content analysis was done on participants’ written responses to each of the four standardized tests’ data. The content analysis was carried out on the written responses of participants, from both the control and the experimental groups. The research findings that emanated from this study were the following: that this new method of teaching and learning is valid, practical and effective; there was a statistically significant improvement in the test scores of participants who were taught by the new instructional approach; participants’ conceptual understanding, procedural fluency, strategic competence and mathematical reasoning skills were enhanced; participants’ problem-solving competence improved, during and after the intervention; the IPAC model guided the majority of the participants to operate at the object and schema levels in relation to the APOS theory mental conceptions. Lastly, the ACE teaching instructional approach significantly guided and enhanced participants’ cognitive engagement and development, which ultimately, optimized their problem-solving competence. Based on these research findings, the researcher recommended among others, that the new instructional approach - the IPAC model, should be implemented for teaching and learning of circle geometry in South African schools. The researcher also recommended that cultivation of thinking skills and implementation of effective problem-solving instructional approaches should be prioritized in mathematics classrooms in South Africa. The researcher established from this study that the developed IPAC model will serve as an effective and a reliable pedagogical tool which can address some of the teaching and learning challenges teachers and learners encounter in mathematics classrooms.Hierdie navorsingstudie het 'n ondersoek gedoen na die vind van 'n kontemporĂȘre probleemoplossende onderrigbenadering wat effektief sal wees vir onderrig en leer van wiskunde in Suid-Afrikaanse skole, met spesifieke fokus op sirkelmeetkunde. Voor die uitvoering van hierdie studie is 'n terugblik gedoen na die wiskundige praktyke wat in skole in Suid-Afrika geĂŻmplementeer is deur navorsers, opvoedkundige praktisyns en belanghebbendes soos nie-regeringsorganisasies. Die instruksionele benaderings vir onderrig en leer van wiskunde, veral die tradisionele onderrig-en-leerbenadering, is eenparig geĂŻdentifiseer as problematies en teenproduktief, en dit kan dalk bydra tot swak leerders se prestasies. In 'n poging om die uitgediende tradisionele benadering te vervang, het die navorser in hierdie studie aanbeveel: "onderrig van denkvaardighede" en "onderrig van effektiewe probleemoplossende onderrigbenaderings" as meer gepas. Met betrekking tot die onderrig van denkvaardig hede, is die infusiebenadering (onderrig van denkvaardighede, tesame met inhoudsinstruksies), uitgelig. Vir die onderrig van effektiewe probleemoplossing is Polya se probleemoplossingsmodel ondersoek. Om 'n effektiewe ontwerp en implementering van die voorgestelde probleemoplossende onderrigbenadering te verseker, is die APOS-teorie (GOS-onderrigsiklus) aanvaar. Die onderrig en leer van sirkelmeetkunde is ook in 'n samewerkende klaskameropset uitgevoer. Hierdie voorgestelde onderrigbenadering is voorlopig, gemerk as "IPAC wiskunde probleemoplossing instruksionele model" of eenvoudig die "IPAC model". Dit was 'n akroniem vir die vier elemente van hierdie nuwe benadering, naamlik - die infusiebenadering, Polya se benadering en APOS-teorie in 'n samewerkende leerklaskamer. Twee groepe graad 11-wiskunde-leerders het as deelnemers vir hierdie studie gedien: groep 1 - 11A het 30 leerders (die kontrolegroep) en groep 2- 11B het 32 leerders (die eksperimentele groep). Data wat ingesamel is metodes vir hierdie studie was: waarnemings van deelnemers in hul natuurlike klaskamerinstellings, opgeneemde video's, vraelyste, foto van deelnemers se werk (klaswerk/huiswerk en gestandaardiseerde toetse). Hierdie studie het 'n gemengde-metode navorsingsontwerp gevolg, dus is beide kwantitatiewe en kwalitatiewe data-ontledingsprosedures geĂŻmplementeer. Die kwantitatiewe data is ontleed deur inferensiĂ«le statistiek en beskrywende statistiek te implementeer, terwyl die APOS teorie-analise gebruik is om te analiseer die kwalitatiewe faset van die versamelde data. Tydens die APOS-teorie-analise is inhoudsontleding gedoen op deelnemers se geskrewe antwoorde op elk van die vier gestandaardiseerde toetse se data. Die inhoudsanalise is uitgevoer op die geskrewe reaksie van deelnemers, van beide die kontrole- en die eksperimentele groepe. Die navorsingsbevindinge wat uit hierdie studie voortgespruit het, was die volgende: dat hierdie nuwe metode van onderrig en leer geldig, prakties en effektief is; daar was 'n statisties beduidende verbetering in die toetstellings van deelnemers wat deur die nuwe onderrigbenadering onderrig is; deelnemers se konseptuele begrip, prosedurele vlotheid, strategiese bevoegdheid en wiskundige redenasievaardighede is verbeter; deelnemers se probleemoplossingsbevoegdheid het verbeter, tydens en na die intervensie; die IPAC-model het die meerderheid van die deelnemers gelei om op die objek- en skemavlakke te werk in verhouding tot die APOS-teorie se verstandelike opvattings. Laastens het die GOS-onderrigbenadering die deelnemers se kognitiewe betrokkenheid en ontwikkeling aansienlik gelei en verbeter, wat uiteindelik hul probleemoplossingsbevoegdheid geoptimaliseer het. Op grond van hierdie navorsingsbevindinge het die navorser onder andere aanbeveel dat die nuwe onderrigbenadering - die IPAC-model, geĂŻmplementeer moet word vir onderrig en leer van sirkelmeetkunde in Suid-Afrikaanse skole. Die navorser het ook aanbeveel dat die kweek van denkvaardighede en implementering van effektiewe probleemoplossende onderrigbenaderings in wiskundeklaskamers in Suid-Afrika geprioritiseer moet word. Die navorser het uit hierdie studie vasgestel dat die ontwikkelde IPAC-model sal dien as 'n effektiewe en betroubare pedagogiese hulpmiddel wat sommige van die onderrig- en leeruitdagings wat onderwysers en leerders in wiskundeklaskamers ondervind, kan aanspreek.Lolu cwaningo luqukethe uphenyo mayelana nokuthola ikhambi elingaxazulula ekutholeni indlela eqondile engaletha imiphumela ewusizo ekufundiseni nasekufundeni kwezibalo ezikoleni zaseMzansi Africa, ezophinde ibhekane ngqo ne circle Geometry. Ngaphambi kokuba kuqale lolu cwaningo, kube nolunye ucwaningo olunzulu olwenziwe ngezinye izindlela esezivele zikhona mayelana nezibalo, ezikoleni zaseMzansi Africa, lwenziwa ngabacwaningi, izifundiswa ezingo ncweti Kanye nezinhlangano ezizimele. Inhlangano ebizwa nge okushiwo ngenhla luhlonze indlela eqondile yokufundisa nokufunda izibalo, ikakhulukazi, indlela ejwayelekile yokwenza, njengezindlela eziyinkinga nezingahambisani, futhi lokhu ngungaba yimbangela ekungenzini kahle kwabafundi. Emkhankasweni wokushintsha lolu hlelo oludala lokwenza olungasasizi, uMhlaziyi kulolu cwaningo uncome ukuthi: “ikhono elufundisa ukuzicabangela” Kanye “nekhono lokufundisa elisebenzayo ukuzixazululela izinkinga” njengendlela okuyiyo efanele. Mayelana nekhono elifundisa ukuzicabangela, indlela eyiqophelo (ikhono elifundisa ukuzicabangela, elihambisana nemigomo equkethwe), luthintiwe. Mayelana nohlelo oluwusizo ekuxazululeni izinkinga, uhlelo luka Polya lokuxazulula izinkinga luphenyiwe. Ukuqinisekisa ukuthi uhlelo olusebenzayo futhi oluzosentsenziswa ekuphakamiseni indlela eqondile enemigomo ekuxazululeni izinkinga yokwenza, i APOS theory (ACE teaching cycle) iyona ekhethiwe. Okunye, uhlelo lokufundisa nokufunda i circle geometry lukhishiwe endleleni ehlanganisayo yokuhlala egunjini lokufunda. Okwamanje Lolu hlelo oluphakanyisiwe lokufundisa, lubekwe njenge “IPAC indlela yezibalo eqondile yokuxazulula izinkinga enemigomo” . Lokhu kuyigama elifinqiwe elakhiwe izinhlamvu ezine kule ndlela entsha ebizwa nge infusion approach, Polya’s approach, Kanye ne APOS theory egunjini lokufunda elihlanganisile. Amaqembu amabili ebanga le shuminanye labafundi bezibalo basentshenzisiwe ukubamba iqhaza kulolu cwaningo: iqembu lokuqala ibanga 11A ebelinabafundi abangu 30 (iqembu labaqondisi) bese iqembu lesibili ibanga 11B ebelinabafundi abangu 32 (iqembu elenzayo). Ucwaningo oluqoqiwe lwalendlela lube kanje: imibono yalaba ebekade bebambe iqhaza egunjini lokufunda obuhleliwe, baqophe amavidiyo, babhala imibuzo, bathatha izithombe zalaba ekade bembambe iqhaza lwalomsebenzi wokubamba iqhaza. (imisebenzi yasegunjini lokufunda/imisebenzi yasekhaya Kanye nokwenza uvivinyo). Lolu phenyo lulandele uhlelo oluxubile okuwuhlelo lokuphenya, yingakho zombili lezi zinhlelo zokuqukethwe nokuseZingeni zokuqoqa uphenyo olwenziwe zisentshenzisiwe. Uhlelo lokuqukethwe lemininingwane lusentshenzisiwe ukuhlaziya ngokusebenzisa uhlelo lokuqoqa okutholakele Kanye nohlelo lokwenza okutholakele, futhi kube kwenziwa ne APOS theory analysis ukuhlaziya okusezingeni eliphezulu zigxenye zonke lwemininingwane eqoqiwe. Ngesikhathi se APOS theory analysis, ukuhlaziywa kokuqukethwe okwenziwe ababambe iqhaza babhale okwenzekile ngesikhathi benza lezi zivivinyo ezine ezibekiwe. Uhlelo lokuhlaziya okuqukethwe lwenziwe labhalwa yilaba kade bebambe iqhaza, kuwo womabili amaqembu , elokuqondisa nelokwenza. Uphenyo olutholakele kulolu hlelo lunje: lolu hlelo lokufundisa nokufunda luyasebenza, luyenzeka, futhi lunomehluko: ngokwezibalo kube nomehluko omkhulu oncono ezibalweni zalabo ekade bebambe iqhaza besebenzisa indlela entsha yemigomo: bonke ekade bebambe iqhaza bathole ithuba lokuthi kuthuthuke amakhono abo ekwazini ukuqonda ukuzicabangela, ekwazini ukwenza izinto ezinomehluko eyinqubomgomo, ukumelana nezindlela eziningi eziphumelelisayo Kanye nekhono lokuqonda izibalo; ikhono lalabo ekade bebambe iqhaza ekuxazululeni izinkinga ngokusezingeni lithuthukile, ngesikhathi nangemuva kokwenza ucwaningo; I IPAC model ukwenzisa abaningi balaba ekade bebambe iqhaza kalula umsebenzi ngokuhlukana kwamazinga kusentsenziswa i APOS theory. Ekugcineni, indlela yokwenza ebizwa nge ACE teaching ikwazile okwenzisa kahle ngokusezingeni eliphezulu futhi yakhuphula labo ebekade bebambe iqhaza yaphinde yabathuthukisa, lokhu okwenze bakwazi ukuba sezingeni lokuphumelela ukuxazulula izinkinga. Ngenxa yalokhu okutholakale kucwaningo, umcwaningi uncome ukuthi kokunye, indlela entsha yokwenza ngemigomo – i-IPAC, kumele isentshenziswe ekufundiseni nasekufundeni i circle geometry ezikoleni zaseMzansi Africa. Umcwaningi uphinde waphakamisa ukuthi ukuthuthukisa ikhono lokuzicabangela nokwenziwa kwezindlela ezisebenzayo zokuxazulula izinkinga kumele zibekwe phambili emagunjini okufunda izibalo eMzansi Africa. Umcwaningi ubeke indlela eseqophelweni eliphezulu eyisisekelo kusukela kwisifundo esenziwe yokuthi i IPAC model iyona esebenza njenge ndlela eyithuluzi elibonakalayo futhi elinemiphumela emihle ethembekile, engakwazi ukubhekana nezinkinga futhi ixazulule izinqinamba zokufundisa nokufunda ezikoleni, lezi othisha nabafundi ababhekana nazo egunjini lokufundela izibaloEducational StudiesD. Phil. (Education

    Making sense of solid for data governance and GDPR

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    Solid is a new radical paradigm based on decentralising control of data from central organisations to individuals that seeks to empower individuals to have active control of who and how their data is being used. In order to realise this vision, the use-cases and implementations of Solid also require us to be consistent with the relevant privacy and data protection regulations such as the GDPR. However, to do so first requires a prior understanding of all actors, roles, and processes involved in a use-case, which then need to be aligned with GDPR's concepts to identify relevant obligations, and then investigate their compliance. To assist with this process, we describe Solid as a variation of `cloud technology' and adapt the existing standardised terminologies and paradigms from ISO/IEC standards. We then investigate the applicability of GDPR's requirements to Solid-based implementations, along with an exploration of how existing issues arising from GDPR enforcement also apply to Solid. Finally, we outline the path forward through specific extensions to Solid's specifications that mitigate known issues and enable the realisation of its benefits

    Detection of Groups with Biased Representation in Ranking

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    Real-life tools for decision-making in many critical domains are based on ranking results. With the increasing awareness of algorithmic fairness, recent works have presented measures for fairness in ranking. Many of those definitions consider the representation of different ``protected groups'', in the top-kk ranked items, for any reasonable kk. Given the protected groups, confirming algorithmic fairness is a simple task. However, the groups' definitions may be unknown in advance. In this paper, we study the problem of detecting groups with biased representation in the top-kk ranked items, eliminating the need to pre-define protected groups. The number of such groups possible can be exponential, making the problem hard. We propose efficient search algorithms for two different fairness measures: global representation bounds, and proportional representation. Then we propose a method to explain the bias in the representations of groups utilizing the notion of Shapley values. We conclude with an experimental study, showing the scalability of our approach and demonstrating the usefulness of the proposed algorithms

    A Closer Look into Recent Video-based Learning Research: A Comprehensive Review of Video Characteristics, Tools, Technologies, and Learning Effectiveness

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    People increasingly use videos on the Web as a source for learning. To support this way of learning, researchers and developers are continuously developing tools, proposing guidelines, analyzing data, and conducting experiments. However, it is still not clear what characteristics a video should have to be an effective learning medium. In this paper, we present a comprehensive review of 257 articles on video-based learning for the period from 2016 to 2021. One of the aims of the review is to identify the video characteristics that have been explored by previous work. Based on our analysis, we suggest a taxonomy which organizes the video characteristics and contextual aspects into eight categories: (1) audio features, (2) visual features, (3) textual features, (4) instructor behavior, (5) learners activities, (6) interactive features (quizzes, etc.), (7) production style, and (8) instructional design. Also, we identify four representative research directions: (1) proposals of tools to support video-based learning, (2) studies with controlled experiments, (3) data analysis studies, and (4) proposals of design guidelines for learning videos. We find that the most explored characteristics are textual features followed by visual features, learner activities, and interactive features. Text of transcripts, video frames, and images (figures and illustrations) are most frequently used by tools that support learning through videos. The learner activity is heavily explored through log files in data analysis studies, and interactive features have been frequently scrutinized in controlled experiments. We complement our review by contrasting research findings that investigate the impact of video characteristics on the learning effectiveness, report on tasks and technologies used to develop tools that support learning, and summarize trends of design guidelines to produce learning video

    The dark side of recruitment in crowdsourcing: ethics and transparency in micro-task marketplaces

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    Micro-task crowdsourcing marketplaces like Figure Eight (F8) connect a large pool of workers to employers through a single online platform, by aggregating multiple crowdsourcing platforms (channels) under a unique system. This paper investigates the F8 channels’ demographic distribution and reward schemes by analysing more than 53k crowdsourcing tasks over four years, collecting survey data and scraping marketplace metadata. We reveal an heterogeneous per-channel demographic distribution, and an opaque channel commission scheme, that varies over time and is not communicated to the employer when launching a task: workers often will receive a smaller payment than expected by the employer. In addition, the impact of channel commission schemes on the relationship between requesters and crowdworkers is explored. These observations uncover important issues on ethics, reliability and transparency of crowdsourced experiment when using this kind of marketplaces, especially for academic research

    No Walk in the Park: Urban Green Space Planning for Health Equity and Environmental Justice

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    Cities are complex socio-ecological systems where social, cultural, economic, political, and environmental factors influence health outcomes. With the global population growing increasingly urbanized, understanding how urban environmental conditions affect human health has become a topic of interest among researchers across multiple disciplines. Urban green space—which includes all vegetated land cover (e.g., trees, grass, shrubs, and woodlands), as well as any land uses with publicly available recreational amenities (e.g., parks, schoolyards, university campuses, and conservation areas) located within a city’s geographic boundary—provides multiple health and health-promoting benefits. As such, disparities in park access, park quality, and green cover exposure (i.e., tree canopy and all other vegetation) are considered environmental justice and health equity issues. A wealth of recent research has found that, in general, increased access to parks has been associated with greater likelihood that residents will participate in physical activities and meet physical activity guidelines, and increased exposure to vegetated land cover has corresponded with improved psychological well-being and reduced risk of some mental illnesses. Yet, urban green spaces, and the health benefits such spaces afford, are not distributed equitably, and disparities in urban green space access and exposure based on race, ethnicity, or income represent environmental justice and health equity concerns. In this dissertation, I build upon the existing body of knowledge to 1) investigate how issues of health have shaped urban landscapes in the United States and how the policies and decisions that have shaped urban landscapes have exacerbated health inequities, 2) build upon existing research at the nexus of health and urban green space to improve understanding of relationships between urban green space access/exposure, physical activity, and mental well-being, and 3) develop a method for identifying distributional justice concerns related to urban green space access/exposure to inform urban green space planning for health equity
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