03215 am 22005893u 450 991016205780332120200520144314.01-281-98832-4978661198832690-485-0610-7(CKB)1000000000553260(EBL)420035(SSID)ssj0000245272(PQKBManifestationID)11237130(PQKBTitleCode)TC0000245272(PQKBWorkID)10175942(PQKB)11034376(MiAaPQ)EBC3327128(OCoLC)310383641(MiAaPQ)EBC420035(Au-PeEL)EBL3327128(CaPaEBR)ebr10302726(CaONFJC)MIL198832(Au-PeEL)EBL420035(EXLCZ)99100000000055326020091013d2008 uy 0engurcn#nnn|||||txtrdacontentcrdamediacrrdacarrierSharia and national law in Muslim countries[electronic resource] tensions and opportunities for Dutch and EU foreign policy /Jan Michiel OttoLeiden Leiden University Pressc20081 online resource (46 pages)Law, governance, and development90-8728-048-3 Includes bibliographical references.1. Views and Assumptions about Sharia and their Implications for Foreign Policy -- 2. Sharia: A Fixed Set of Norms that Are Exclusively Binding upon all Muslims? -- 3. The Islamisation of Law? Identifying the Main Trend and Responding to It -- 4. Addressing the Question of (In)Compatibility of Sharia-based Law with National and International Rule of Law Standards, Particularly Regarding Human Rights? -- 5. Coming Up with a Framework for Foreign Policy towards the Muslim World -- 6. General Preconditions for a Foreign Policy towards Muslim Countries.The relationship between 'Islam and the West' has become a central issue in international relations. Recently, an overwhelmingly negative view of sharia has developed in the West, in response to reported events, notably in Iran and Saudi Arabia, to terrorist attacks by Islamists, and also encouraged by certain Western opinion leaders. A range of misconceptions about what sharia actually means and how it relates to national law in Muslim countries, both in theory and practice, has contributed to foreign policies that are confrontational rather than pragmatic. This Research and Policy Note identifies key features, problems and approaches of sharia-based law and links them to foreign policy. This is a vital contribution towards the development of a well-informed, coherent, explicit long-term foreign policy towards the Muslim world.Law, governance, and development.Research & policy notes.Islamic lawArab countriesElectronic books.Islamic law303.4825604Otto Jan Michiel1952-959095MiAaPQMiAaPQMiAaPQBOOK9910162057803321Sharia and national law in Muslim countries2441636UNINA10988nam 2200505 450 99646448830331620220330125819.03-030-77772-3(CKB)4100000011979497(MiAaPQ)EBC6676367(Au-PeEL)EBL6676367(OCoLC)1259338936(PPN)258058757(EXLCZ)99410000001197949720220330d2021 uy 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierArtificial intelligence in HCI second International Conference, AI-HCI 2021, held as part of the 23rd HCI International Conference, HCII 2021, Virtual event, July 24-29, 2021, Proceedings /Helmut Degen, Stavroula Ntoa (editors)Cham, Switzerland :Springer,[2021]©20211 online resource (565 pages)Lecture notes in computer science ;127973-030-77771-5 Intro -- Foreword -- HCI International 2021 Thematic Areas and Affiliated Conferences -- Contents -- Ethics, Trust and Explainability -- Can You Trust the Black Box? The Effect of Personality Traits on Trust in AI-Enabled User Interfaces -- 1 Introduction -- 2 Research Background and Related Work -- 2.1 Human-Centred AI -- 2.2 Trust in AI -- 2.3 Best Practices and Guidelines for the Design of Intelligent Solutions -- 2.4 User-Type Models -- 3 Research Design -- 4 Results -- 4.1 Demographic Information -- 4.2 Personality Traits and Trust in AI-Enabled User Interfaces -- 5 Conclusion -- 6 Limitations and Future Research -- References -- Towards Design Principles for User-Centric Explainable AI in Fraud Detection -- 1 Introduction -- 2 Theoretical Foundation and Related Work -- 3 Research Methodology -- 4 Design Principles -- 5 Evaluation and Results -- 5.1 Evaluation and Experiment Design -- 5.2 Evaluation Results -- 5.3 Information Quality of Design Principles with Syntactic and Semantic Criteria -- 5.4 Quality of Design Principles Instantiation Through a Simulation -- 6 Discussion and Implications -- 6.1 Practical Implications of Design Principles -- 6.2 Simulation Findings -- 7 Conclusions -- References -- Disentangling Trust and Anthropomorphism Toward the Design of Human-Centered AI Systems -- 1 Introduction -- 2 Trust -- 2.1 The Function of Trust -- 2.2 Trust in Human-Machine Interaction -- 3 Anthropomorphism -- 3.1 The Function of Anthropomorphism -- 3.2 Anthropomorphism in Human-Machine Interaction -- 4 Trust and Anthropomorphism -- 4.1 Similarities -- 4.2 Differences -- 5 Toward Human-Centered Design -- 5.1 Designing for Trust Repair and Trust Dampening -- 5.2 Anthropomorphism as a Tool for User Understanding -- 6 Conclusion -- References -- Designing a Gender-Inclusive Conversational Agent For Pair Programming: An Empirical Investigation.1 Introduction -- 2 Methodology -- 2.1 Human-Human Study -- 2.2 Human-Agent Study -- 2.3 Analysis of Data -- 3 Results -- 4 Discussions -- 5 Conclusion -- References -- The Challenge of Digital Education and Equality in Taiwan -- 1 Introduction -- 2 Digital Divide: A Daily Scenario of Regular Life -- 3 The Challenges: IT Arm Races or Digital Equality -- 4 Conclusion -- References -- Morality Beyond the Lines: Detecting Moral Sentiment Using AI-Generated Synthetic Context -- 1 Introduction -- 2 Methodologies -- 2.1 Public Opinion Problem Under Study: Local Attitudes Toward US Oversea Bases and US Troop Presence -- 2.2 Fine-Tuning Data Collection -- 2.3 Fine-Tuning GPT-2 Language Model -- 2.4 Synthetic Context Generation -- 2.5 Keyword Identification and Counts -- 3 Results and Discussions -- 3.1 Number of MFD-Related Keywords Before and After Fine-Tuning -- 3.2 Discussion -- 4 Conclusion -- References -- Whoops! Something Went Wrong: Errors, Trust, and Trust Repair Strategies in Human Agent Teaming -- 1 Introduction -- 2 Trust Development in HAT -- 2.1 Tangibility and Immediacy -- 2.2 Transparency -- 2.3 Reliability -- 2.4 Task -- 3 Trust Violation in HAT -- 4 Trust Repair in HAT -- 4.1 Apologies -- 4.2 Denial -- 4.3 Context Specific Strategies -- 4.4 Interactions Between Trust Violation and Trust Repair -- 4.5 Moving Beyond Repair and into Calibration -- 5 Conclusion -- References -- What Does It Mean to Explain? A User-Centered Study on AI Explainability -- 1 Introduction -- 1.1 Background -- 2 Related Work -- 2.1 XAI Definition -- 2.2 XAI Techniques -- 2.3 XAI HCI Approaches -- 3 User Study -- 3.1 Individual User Interview -- 3.2 Group Workshop -- 4 Discussion -- 4.1 Explanation Focus -- 4.2 User Profiles -- 4.3 Mapping -- 5 Conclusion -- References -- Human-Centered AI.How Intuitive Is It? Comparing Metrics for Attitudes in Argumentation with a Human Baseline -- 1 Introduction -- 2 Definitions -- 3 Distance Functions for Argumentations -- 4 Comparison with a Human Baseline -- 5 Discussion -- 6 Related Work -- 7 Conclusion and Future Work -- References -- A Contextual Bayesian User Experience Model for Scholarly Recommender Systems -- 1 Introduction and Problem Statement -- 2 Research Background -- 2.1 Contextual Approaches -- 2.2 Contextual User Modeling -- 2.3 User eXperience (UX) -- 2.4 Bayesian Network -- 2.5 Bayesian Network Algorithms -- 3 Related Work -- 4 Why Bayesian Network Modeling? -- 4.1 Suitable to Deal with Uncertain and Dynamic Contexts -- 4.2 Well Adapted for Diagnose of Users' Preferences -- 4.3 Appropriate for Diagnose of User's Information Needs in SRSs -- 4.4 Appropriate for Representation of Casualty Relationships -- 4.5 Well Adapted to Other Recommending Approaches -- 5 Bayesian UM Development -- 5.1 Dataset Preparation -- 5.2 BN Structure Learning -- 5.3 BN Parameter Learning and Inference -- 6 Bayesian UM Evaluation and Results -- 6.1 Robustness of BN Structure: Sensitivity Analysis -- 6.2 Comparison of BN Algorithm-Expected Loss -- 6.3 Predictive Performance Assessment -- 7 Discussion: Proposed Model Advantages -- 8 Recommendations for Future Studies -- Appendix A: Data Codebook -- References -- From a Workshop to a Framework for Human-Centered Artificial Intelligence -- 1 Introduction -- 2 The Workshop -- 2.1 Workshop Scope -- 2.2 Workshop Format and Participants -- 3 Results -- 3.1 Workshop Expectations and Concerns -- 3.2 AI in HCI Research Topics -- 3.3 AI and Trust -- 3.4 Ethical AI -- 3.5 Human-Centered AI -- 3.6 Workshop Evaluation -- 3.7 The AI in HCI Research Map -- 4 A Framework for Human-Centered AI -- 5 Discussion and Conclusions -- References.Collaborative Human-AI Sensemaking for Intelligence Analysis -- 1 Intelligence Analysis -- 1.1 Challenges and Trends -- 1.2 Sensemaking in Intelligence Analysis -- 1.3 Artificial Intelligence and Machine Learning -- 1.4 Research Questions and Use Case -- 2 Theoretical Foundations of Human-AI Sensemaking -- 3 Methods -- 4 Results -- 4.1 Algorithms Matter -- 4.2 Features Matter -- 4.3 Outcomes Matter -- 5 Discussion -- 5.1 A Model of Collaborative Sensemaking with AI -- 5.2 Conclusions -- 5.3 Future Work -- References -- Design Intelligence - Taking Further Steps Towards New Methods and Tools for Designing in the Age of AI -- 1 Introduction -- 2 Overview Design for AI Challenges -- 2.1 Case Studies from B2B Factory Automation -- 2.2 Additional Findings -- 2.3 Related Work -- 2.4 Compare the Findings -- 3 Overview Human-Centered-AI Principles -- 3.1 Purpose and Definition -- 3.2 Proposed Solutions -- 3.3 Explanations and Analysis -- 3.4 Conclusion and Missing Pieces -- 4 Mapping Challenges and Principles -- 4.1 Which Design Challenges Are Addressed? -- 4.2 Which Aspects Are Still Missing? -- 5 Conclusion -- References -- Towards Incorporating AI into the Mission Planning Process -- 1 Introduction -- 1.1 Background -- 2 Key Challenges and Considerations -- 2.1 Data Challenges -- 2.2 Mission Plan Exploration -- 2.3 3rd Wave AI -- 3 AI Framework Design -- 3.1 Deep Reinforcement Learning -- 3.2 Neural Policy Programs -- 3.3 Human-NPP Teaming -- 4 Prototyping and Demonstration Environment -- 4.1 StarCraft II Background -- 4.2 StarCraft II Similarities to Navy Mission Environment -- 4.3 Prototyping Environment in StarCraft II -- 5 Conclusions and Future Work -- References -- Putting a Face on Algorithms: Personas for Modeling Artificial Intelligence -- 1 Introduction -- 1.1 Personas -- 2 Method -- 3 AI Persona Prototype -- 4 Experience with Collaboration.5 Discussion and Future Work -- References -- Tool or Partner: The Designer's Perception of an AI-Style Generating Service -- 1 Introduction -- 2 Related Work -- 2.1 Changes in the Creativity Concept and Research -- 2.2 System and Tool Evolution -- 2.3 The Emergence of New Works -- 2.4 Visual Field Expansion Through Tools -- 2.5 Summary -- 3 Research Verification: Case Analysis -- 3.1 Purpose of Analysis -- 3.2 Participants -- 3.3 Differences of Expression Type by Artists -- 3.4 Change and Discovery of Work Process -- 3.5 Semi-structured Interview -- 3.6 Results and Implications -- 4 Research Evaluation: Expert Perspective &amp -- Evaluation -- 4.1 Purpose of Analysis -- 4.2 Participants -- 4.3 Keywords and Questionnaire -- 4.4 Various Perspectives and Implications -- 4.5 Result -- 4.6 Summary -- 5 Conclusion -- 6 Discussion and Future Work -- References -- Human-Centered Artificial Intelligence Considerations and Implementations: A Case Study from Software Product Development -- 1 Introduction -- 2 Artificial Intelligence -- 3 Human-Centered AI -- 4 Case Study -- 4.1 AI Vision -- 4.2 Approach and Process -- 4.3 Selected Applications of AI -- 5 Conclusion and Outlook -- References -- Sage Advice? The Impacts of Explanations for Machine Learning Models on Human Decision-Making in Spam Detection -- 1 Introduction -- 2 Method -- 2.1 Participants -- 2.2 Materials -- 2.3 Procedure -- 3 Results -- 3.1 Effects of Visualization Type -- 3.2 Effects of Trial Type -- 3.3 Individual Differences in Model Trust -- 4 Discussion -- References -- HCD3A: An HCD Model to Design Data-Driven Apps -- 1 Introduction -- 2 Theory -- 2.1 Human-Centered Design Process -- 2.2 Artificial Intelligence and Machine Learning -- 3 Research Question, Hypothesis and the HCD3A Model -- 3.1 Research Question and Hypothesis -- 3.2 The HCD3A Model -- 4 Project Work.4.1 Project Idea and Background Information.Lecture notes in computer science ;12797.Human-computer interactionCongressesHuman-computer interaction004.019Degen Helmut Ntoa StavroulaMiAaPQMiAaPQMiAaPQBOOK996464488303316Artificial Intelligence in HCI2162732UNISA