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Trustworthy AI - Integrating Learning, Optimization and Reasoning

Trustworthy AI - Integrating Learning, Optimization and Reasoning PDF Author: Fredrik Heintz
Publisher: Springer
ISBN: 9783030739584
Category : Computers
Languages : en
Pages : 278

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Book Description
This book constitutes the thoroughly refereed conference proceedings of the First International Workshop on the Foundation of Trustworthy AI - Integrating Learning, Optimization and Reasoning, TAILOR 2020, held virtually in September 2020, associated with ECAI 2020, the 24th European Conference on Artificial Intelligence. The 11 revised full papers presented together with 6 short papers and 6 position papers were reviewed and selected from 52 submissions. The contributions address various issues for Trustworthiness, Learning, reasoning, and optimization, Deciding and Learning How to Act, AutoAI, and Reasoning and Learning in Social Contexts.

Trustworthy AI - Integrating Learning, Optimization and Reasoning

Trustworthy AI - Integrating Learning, Optimization and Reasoning PDF Author: Fredrik Heintz
Publisher: Springer
ISBN: 9783030739584
Category : Computers
Languages : en
Pages : 278

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Book Description
This book constitutes the thoroughly refereed conference proceedings of the First International Workshop on the Foundation of Trustworthy AI - Integrating Learning, Optimization and Reasoning, TAILOR 2020, held virtually in September 2020, associated with ECAI 2020, the 24th European Conference on Artificial Intelligence. The 11 revised full papers presented together with 6 short papers and 6 position papers were reviewed and selected from 52 submissions. The contributions address various issues for Trustworthiness, Learning, reasoning, and optimization, Deciding and Learning How to Act, AutoAI, and Reasoning and Learning in Social Contexts.

Trustworthy AI - Integrating Learning, Optimization and Reasoning

Trustworthy AI - Integrating Learning, Optimization and Reasoning PDF Author: Fredrik Heintz
Publisher: Springer Nature
ISBN: 3030739597
Category : Computers
Languages : en
Pages : 278

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Book Description
This book constitutes the thoroughly refereed conference proceedings of the First International Workshop on the Foundation of Trustworthy AI - Integrating Learning, Optimization and Reasoning, TAILOR 2020, held virtually in September 2020, associated with ECAI 2020, the 24th European Conference on Artificial Intelligence. The 11 revised full papers presented together with 6 short papers and 6 position papers were reviewed and selected from 52 submissions. The contributions address various issues for Trustworthiness, Learning, reasoning, and optimization, Deciding and Learning How to Act, AutoAI, and Reasoning and Learning in Social Contexts.

Trustworthy AI - Integrating Learning, Optimization and Reasoning

Trustworthy AI - Integrating Learning, Optimization and Reasoning PDF Author: Fredrik Heintz
Publisher:
ISBN: 9783030739607
Category :
Languages : en
Pages : 0

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Book Description
This book constitutes the thoroughly refereed conference proceedings of the First International Workshop on the Foundation of Trustworthy AI - Integrating Learning, Optimization and Reasoning, TAILOR 2020, held virtually in September 2020, associated with ECAI 2020, the 24th European Conference on Artificial Intelligence. The 11 revised full papers presented together with 6 short papers and 6 position papers were reviewed and selected from 52 submissions. The contributions address various issues for Trustworthiness, Learning, reasoning, and optimization, Deciding and Learning How to Act, AutoAI, and Reasoning and Learning in Social Contexts.

Artificial Intelligence And Innovation Management

Artificial Intelligence And Innovation Management PDF Author: Stoyan Tanev
Publisher: World Scientific
ISBN: 180061134X
Category : Business & Economics
Languages : en
Pages : 328

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Book Description
Artificial Intelligence and Innovation Management contributes to the ongoing debate among innovation scholars and practitioners focusing on the potential impact of Artificial Intelligence (AI) on the ways companies and organizations do business, operate and innovate. It considers AI as a source of innovation both in terms of innovation within the field of AI itself (AI innovation) and in terms of how it enables or disrupts innovation in other fields (AI-driven innovation). The book's content is driven by several important conclusions:It is therefore both necessary and timely to explore the different aspects of the relationship between AI and IM.The contributors to this book include both scholars and practitioners from multiple countries and different types of institutions. They were selected based on their ability to provide a relevant distinctive perspective on the relationship between AI and IM; the degree of their professional engagement with the field; their ability to contribute to the thematic and contextual diversity of the contributions; and their ability to provide actionable insights for both innovation scholars and practitioners.Helena Blackbright (Mälardalen University, Sweden) and Stoyan Tanev (Carleton University, Canada) are chairing the Special Interest Group on AI and IM at the International Society for Professional Innovation Management (https://www.ispim-innovation.com/).

Artificial Intelligence Research and Development

Artificial Intelligence Research and Development PDF Author: M. Villaret
Publisher: IOS Press
ISBN: 1643682113
Category : Computers
Languages : en
Pages : 486

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Book Description
Artificial intelligence has become an indispensible part of our lives in recent years, affecting all aspects from business and leisure to transport and health care. This book presents the proceedings of the 23rd edition of the International Conference of the Catalan Association for Artificial Intelligence (CCIA), an annual event that serves as a meeting point for researchers in Artificial Intelligence in the area of the Catalan speaking territories and from around the world. The 2021 edition was held online as a virtual conference from 20 - 22 October 2021 due to the COVID-19 pandemic. The book contains 42 long papers and 9 short papers, carefully reviewed and selected. The papers cover all aspects of artificial intelligence and are divided under six section headings: combinatorial problem solving and logics for artificial intelligence; sentiment analysis and tekst analysis; data science and decision support systems; machine learning; computer vision; and explainability and argumentation. Abstracts of the 2 invited talks delivered at the conference by Prof. Patty Kostkova and Prof. João Marques-Silva are also included. Offering a state of the art overview of the subject from a regional perspective, the book will be of interest to all those working in the field of artificial intelligence.

Machine Learning and Principles and Practice of Knowledge Discovery in Databases

Machine Learning and Principles and Practice of Knowledge Discovery in Databases PDF Author: Michael Kamp
Publisher: Springer Nature
ISBN: 3030937364
Category : Artificial intelligence
Languages : en
Pages : 895

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Book Description
This two-volume set constitutes the refereed proceedings of the workshops which complemented the 21th Joint European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD, held in September 2021. Due to the COVID-19 pandemic the conference and workshops were held online. The 104 papers were thoroughly reviewed and selected from 180 papers submited for the workshops. This two-volume set includes the proceedings of the following workshops: Workshop on Advances in Interpretable Machine Learning and Artificial Intelligence (AIMLAI 2021) Workshop on Parallel, Distributed and Federated Learning (PDFL 2021) Workshop on Graph Embedding and Mining (GEM 2021) Workshop on Machine Learning for Irregular Time-series (ML4ITS 2021) Workshop on IoT, Edge, and Mobile for Embedded Machine Learning (ITEM 2021) Workshop on eXplainable Knowledge Discovery in Data Mining (XKDD 2021) Workshop on Bias and Fairness in AI (BIAS 2021) Workshop on Workshop on Active Inference (IWAI 2021) Workshop on Machine Learning for Cybersecurity (MLCS 2021) Workshop on Machine Learning in Software Engineering (MLiSE 2021) Workshop on MIning Data for financial applications (MIDAS 2021) Sixth Workshop on Data Science for Social Good (SoGood 2021) Workshop on Machine Learning for Pharma and Healthcare Applications (PharML 2021) Second Workshop on Evaluation and Experimental Design in Data Mining and Machine Learning (EDML 2020) Workshop on Machine Learning for Buildings Energy Management (MLBEM 2021).

Ethical Evidence and Policymaking

Ethical Evidence and Policymaking PDF Author: Ron Iphofen
Publisher: Policy Press
ISBN: 1447363957
Category : Reference
Languages : en
Pages : 390

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Book Description
EPDF and EPUB available Open Access under CC-BY-NC-ND licence. This important book offers practical advice for using evidence and research in policymaking. The book has two aims. Firstly, it builds a case for ethics and global values in research and knowledge exchange, and secondly, it examines specific policy areas and how evidence can guide practice. The book covers important policy areas including the GM debate, the environment, Black Lives Matter and COVID-19. Each chapter assesses the ethical challenges, the status of evidence in explaining or describing the issue and possible solutions to the problem. The book will enable policymakers and their advisors to seek evidence for their decisions from research that has been conducted ethically and with integrity.

Reflections on Artificial Intelligence for Humanity

Reflections on Artificial Intelligence for Humanity PDF Author: Bertrand Braunschweig
Publisher: Springer Nature
ISBN: 3030691284
Category : Computers
Languages : en
Pages : 267

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Book Description
We already observe the positive effects of AI in almost every field, and foresee its potential to help address our sustainable development goals and the urgent challenges for the preservation of the environment. We also perceive that the risks related to the safety, security, confidentiality, and fairness of AI systems, the threats to free will of possibly manipulative systems, as well as the impact of AI on the economy, employment, human rights, equality, diversity, inclusion, and social cohesion need to be better assessed. The development and use of AI must be guided by principles of social cohesion, environmental sustainability, resource sharing, and inclusion. It has to integrate human rights, and social, cultural, and ethical values of democracy. It requires continued education and training as well as continual assessment of its effects through social deliberation. The “Reflections on AI for Humanity” proposed in this book develop the following issues and sketch approaches for addressing them: How can we ensure the security requirements of critical applications and the safety and confidentiality of data communication and processing? What techniques and regulations for the validation, certification, and audit of AI tools are needed to develop confidence in AI? How can we identify and overcome biases in algorithms? How do we design systems that respect essential human values, ensuring moral equality and inclusion? What kinds of governance mechanisms are needed for personal data, metadata, and aggregated data at various levels? What are the effects of AI and automation on the transformation and social division of labor? What are the impacts on economic structures? What proactive and accommodation measures will be required? How will people benefit from decision support systems and personal digital assistants without the risk of manipulation? How do we design transparent and intelligible procedures and ensure that their functions reflect our values and criteria? How can we anticipate failure and restore human control over an AI system when it operates outside its intended scope? How can we devote a substantial part of our research and development resources to the major challenges of our time such as climate, environment, health, and education?

The Assessment List for Trustworthy Artificial Intelligence (ALTAI)

The Assessment List for Trustworthy Artificial Intelligence (ALTAI) PDF Author: Pekka Ala-Pietilä
Publisher: European Commission
ISBN:
Category : Business & Economics
Languages : en
Pages : 34

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Book Description
On the 17 of July 2020, the High-Level Expert Group on Artificial Intelligence (AI HLEG) presented their final Assessment List for Trustworthy Artificial Intelligence. Following a piloting process where over 350 stakeholders participated, an earlier prototype of the list was revised and translated into a tool to support AI developers and deployers in developing Trustworthy AI. The tool supports the actionability the key requirements outlined by the Ethics Guidelines for Trustworthy Artificial Intelligence (AI), presented by the High-Level Expert Group on AI (AI HLEG) presented to the European Commission, in April 2019. The Ethics Guidelines introduced the concept of Trustworthy AI, based on seven key requirements: human agency and oversight technical robustness and safety privacy and data governance transparency diversity, non-discrimination and fairness environmental and societal well-being and accountability Through the Assessment List for Trustworthy AI (ALTAI), AI principles are translated into an accessible and dynamic checklist that guides developers and deployers of AI in implementing such principles in practice. ALTAI will help to ensure that users benefit from AI without being exposed to unnecessary risks by indicating a set of concrete steps for self-assessment. Download the Assessment List for Trustworthy Artificial Intelligence (ALTAI) (.pdf) The ALTAI is also available in a web-based tool version. More on the ALTAI web-based tool: https://futurium.ec.europa.eu/en/european-ai-alliance/pages/altai-assessment-list-trustworthy-artificial-intelligence

GDPR & Privacy: awareness and opportunities. The approach with the Data Protection and Privacy 
Relationships Model (DAPPREMO)

GDPR & Privacy: awareness and opportunities. The approach with the Data Protection and Privacy 
Relationships Model (DAPPREMO) PDF Author: Nicola Fabiano
Publisher: goWare
ISBN: 8833634043
Category : Law
Languages : en
Pages : 328

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Book Description
Today we hear more and more often about data protection: but what does it mean? The “protection” concerns natural persons and therefore, their data. The book takes us on a journey through the legislation on the protection of natural persons with regard to the processing of personal data provided for by the eu Regulation 2016/679 (gdpr), helping us to understand its historical evolution, the ethical and legal principles that guide it and the obligations related to the processing. We should not overlook the issue of information security, also given the most current methods of communication and the development of new tools that offer us connection possibilities through smartphones, e-mail and social networks, however, posing severe risks, especially for minors. The new technological frontiers (Blockchain, IoT, Big Data, Artificial Intelligence, Drones, Robotics) deserve attention mainly because of the impact on the natural persons and their data; adequate awareness is increasingly necessary also for a correct ethical approach to the issue. The book presents a new and innovative approach to data protection according to the relational model, which we defined dappremo (acronym of Data Protection and Privacy Relationships Model) based on high mathematics as a function of reality analysis.