"This open access collection of AI ethics case studies is the first book to present real-life case studies combined with commentaries and strategies for overcoming ethical challenges. Case studies are one of the best ways to learn about ethical dilemmas and to achieve insights into various complexit
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ies and stakeholder perspectives." (Publisher description)
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"Die vielfältigen Möglichkeiten moderner IT-Systeme bringen drängende ethische Probleme mit sich. Neben der offensichtlichen Frage nach einer moralisch tragbaren Verwendung von Informationstechnologien sind ebenso die Aspekte des Entwerfens, Herstellens und Betreibens derselben entscheidend. Die
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Beiträger*innen setzen sich mit dem Konfliktpotenzial zwischen Technik und Ethik auseinander, indem sie lebensnahe Fallbeispiele analysieren und diskutieren. Damit liefern sie eine praktische Anleitung zum gemeinsamen Nachdenken über moralische Gebote und ethischen Umgamg mit IT-Systemen und ihren Möglichkeiten." (Verlagsbeschreibung)
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"In particular we recommend to strengthen collaboration (platforms should adopt a collaborative approach involving various stakeholders, including governments, civil society organisations, and fact-checkers, to counter the spread and impact of disinformation. This can include sharing information, be
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st practices, and resources to develop effective strategies); enhance transparency (platforms should prioritise transparency by providing clear and comprehensive information on their policies, algorithms, and content moderation processes. Users should have a better understanding of how their data is used, and how algorithms work to prevent the amplification of false and misleading narratives); implement effective content moderation (platforms need to allocate sufficient resources to effectively monitor and moderate harmful content. This includes investing in advanced AI systems and human moderation teams to detect and remove disinformation in a timely manner. Transparent and consistent guidelines should be in place to ensure fairness and accountability in content moderation decisions); promote fact-based information (platforms should prioritise the promotion of fact-based information from reliable sources. This can be done by partnering with credible news organizations and fact-checkers to provide accurate information and combat false narratives. Advertising promoting climate change denial or other forms of misinformation should be prevented); improve the access to data for researchers (platforms should make efforts to provide access to data for independent researchers to evaluate the effectiveness of their policies and initiatives in countering disinformation. This will enable better analysis and understanding of the impact of disinformation and the effectiveness of countermeasures); comply with regulatory frameworks (platforms should fully comply with regulatory frameworks, such as the Digital Services Act (DSA) or other relevant International, EU and National laws and regulations, that provide for obligations on addressing disinformation and mitigating associated risks, the Code of Practice on Disinformation that aims to commit signatories to a range of actions to counter disinformation. These actions include providing transparency reports on political advertising, restricting advertising placements on disinformation websites, disrupting advertising revenue for purveyors of disinformation, and enabling user feedback and fact-checking mechanisms. In this framework, compliance should not be limited to large platforms but extended, with adjustments, to smaller platforms to ensure a comprehensive approach)." (Recommendations, page 6)
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"The main recommendations we propose are:
1. Before proceeding with any development, analyze the need and social value of it. Consider the potential benefits and drawbacks of implementing the project.
2. Define the problem to be solved in non-technical terms, based on the joint reflection of the par
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ties interested in developing an AI application. Consider the possible secondary uses of the application of the project and its possible harmful effects.
3. Analyze the data sources with which the model may be trained, taking into consideration the protection of personal data and intellectual property. Pay close attention to potential biases to ensure that all groups are adequately and non-discriminatorily represented, with a special focus on minorities.
4. When training and evaluating predictive models, incorporate a methodology for checking well-known limitations of models that lead to pernicious results: underrepresented classes, majority classes, a tendency to overfit, etc. Incorporate also more general error analysis to detect previously unknown limitations.
5. Carry out deployment in phases, accompanied by the corresponding monitoring mechanisms for early detection of pernicious effects of the implementation of the system in actual contexts, incorporating different perspectives into the analysis of the behavior of the system.
Equity analysis must be transversal, i.e., a reflective resource present throughout the entire system development and construction process, rather than being applied only when evaluating the discriminatory impacts of a system after it has been deployed." (Executive Summary)
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"The primary goal of this handbook is to help companies developing, procuring, or leveraging advanced technologies understand the ethical risks that such technologies introduce, and help them implement the infrastructure necessary to mitigate those risks throughout the product and service life cycle
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. The ITEC Handbook offers a structured methodology to guide enterprises on their journey of transformation from leadership discernment and commitment, to operationalizing ethical and humane use principles, into a new mindset and culture of technology ownership and accountability, where everyone thinks through the consequences of the technology and feels accountability for its impacts on humanity and the planet. It also describes how to define, implement, and manage an ethical-values-focused Responsible Technology Management System (RTMS) aligning the enterprise and stakeholders for social, technical, and business success for the common good of humanity and the environment." (Page 13)
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"Wie kann Theologie zu Technik und KI beitragen? Der Technikdiskurs ist aufgeladen mit religiösen Motiven, und Technologien wie Roboter fordern die Theologie, z. B. das Menschenbild, die Ethik und die religiöse Praxis, neu heraus. Der Sammelband erforscht aus theologischer Perspektive die drängen
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den Themen unserer Zeit. Dazu begibt sich die Theologie in Dialog mit den Technikwissenschaften. Untersucht werden die Veränderungen des Menschenbildes durch Roboter, Religiöse Roboter, Optimierung des Körpers, medizinische Technologien, Autoregulative Waffensysteme und wie die Theologie durch die Technologisierung transformiert wird." (Verlagsbeschreibung)
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"This fifth volume in Christian Fuchs's Media, Communication and Society series presents foundations and applications of digital ethics based on Critical Theory. It applies a critical approach to ethics within the realm of digital technology. Based on the notions of alienation, communication (in)jus
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tice, media (in)justice, and digital (in)justice, it analyses ethics in the context of digital labour and the surveillance-industrial complex, social media research ethics, privacy on Facebook, participation, co-operation and sustainability in the information society, the digital commons, the digital public sphere, and digital democracy. The book consists of three parts. Part One presents some of the philosophical foundations of critical, humanist digital ethics. Part Two applies these foundations to concrete digital ethics case studies. Part Three presents broad conclusions about how to advance the digital commons, the digital public sphere, and digital democracy, which is the ultimate goal of digital ethics." (Publisher description)
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