generative ai
Events
Online-Fachtagung: OER im Zeitalter von KI
Die Entwicklungen der letzten zweieinhalb Jahre zeigen ganz deutlich, dass Künstliche Intelligenz (KI) alle Hochschulbereiche tangiert und signifikant verändern wird. Dies betrifft vor allem auch den Bereich der Hochschullehre und damit die Produktion von Lehr- und Lernmaterialien. Seitdem es mit wenigen Prompts möglich ist, Lehr- und Lernmaterialien quasi per Knopfdruck zu erstellen und da diese Inhalte dann auch als gemeinfreie Werke gelten – sofern nicht durch kreative Promptketten und eigenständige Nachbearbeitungen eine Schaffenshöhe erreicht wird, die ein individuelles Urheberrecht begründen –, ergeben sich Fragestellungen nach den Auswirkungen dieser Entwicklungen auf Open Educational Resources (OER):
- Werden zukünftig Lehr- und Lernmaterialien vornehmlich durch generative KI-Tools generiert?
- Wenn ja, braucht es noch CC-Lizenzen, wenn KI-generierte Inhalte größtenteils gemeinfrei sind?
- Sind in diesem Fall OER-Repositories langfristig noch die richtigen Orte zur Ablage dieser gemeinfreien Inhalte, oder werden dafür vermehrt offene LMS genutzt?
- Welchen Beitrag können OER und entsprechende Repositories zukünftig noch für eine offene Bildung leisten?
- Oder sind OER womöglich die ideale Grundlage für ein urheberrechtskonformes Training von LLMs bzw. eine Anreicherung über RAG-Lösungen, um unterstützend zur Qualitätssteigerung von KI-generierten Inhalten beizutragen?
- Und wie kann der Einsatz von KI die Entwicklung und Verbreitung von OER befördern?
Diesen und weiteren Fragen wollen wir uns in Lightning Talks sowie einem vertiefenden Zwiegespräch zwischen Dr. Sandra Schön und PD. Dr. Malte Persike widmen. Die Teilnehmenden sind herzlich dazu eingeladen, sich in einem zweiten Teil des Gespräches an der Diskussion zu beteiligen. Die Teilnahme ist kostenfrei. Eine Anmeldung über das untenstehende Formular ist aus organisatorischen Gründen erforderlich.
Programm hier
Institutions
- Multimedia Kontor Hamburg gGmbH
- OER-Portal twillo
- Hamburg Open Online University HOOU
Paper Dragon or Machine Tamer: the AI Act’s Approach to Solving Ethical and Societal Concerns Around Generative AI
With the launch of ChatGPT last year and the ensuing debate about the benefits and potential risks of generative AI, also the work on the European AI Act shifted into a higher gear. The European Council and Parliament, working on their respective compromise texts, had to find ways to accommodate this new phenomenon. The attempts to adapt the AI Act went hand in hand with a lively public debate on what was so new and different about generative AI, whether it raised new, not yet anticipated risks, and how to best address a technology whose societal implications are not yet well understood. Most importantly, was the AI Act outdated even before is adopted? In my presentation I would like to discuss the different approaches that the Council and Parliament adopted to governing Generative AI, the most salient points of discussion and the different approaches proposed to solve some of the key ethical and societal concerns around the rise of generative AI.
Prof. Dr. Natali Helberger (Universiteit van Amsterdam, NL)
Natali Helberger is Distinguished University Professor of Law and Digital Technology, with a special focus on AI, at the University of Amsterdam and a member of the Institute for Information Law (IViR). Her research on AI and automated decision systems focuses on its impact on society and governance. Helberger co-founded the Research Priority Area Information, Communication, and the Data Society, which has played a leading role in shaping the international discussion on digital communication and platform governance. She is a founding member of the Human(e) AI research program and leads the Digital Transformation Initiative at the Faculty of Law. Since 2021, Helberger has also been director of the AI, Media & Democracy Lab, and since 2022, scientific director of the Algosoc (Public Values in the Algorithmic Society) Gravitation Consortium. A major focus of the Algosoc program is to mentor and train the next generation of interdisciplinary researchers. She is a member of several national and international research groups and committees, including the Council of Europe's Expert Group on AI and Freedom of Expression.
Institutions
- UHH
Prompt it! 30 Minuten zu: Die bildgebende KI "Adobe Firefly"
Ob fotorealistisch oder kunstvoll, es gibt viele Möglichkeiten Adobe Firefly in kurzer Zeit einzigartige Bilder generieren zu lassen. Über zahlreiche Einstellmöglichkeiten lassen sich die Ergebnisse immer weiter verfeinern oder schnell verändern.
Wir wollen in 30 Minuten einen beispielhaften Workflow für die Bildgenerierung kennenlernen, der uns durch die verschiedenen Arbeitsschritte führt. Am Ende können wir mit einem generierten Bild in andere Adobe-Anwendungen wechseln, um dort weiter daran zu arbeiten.
Diese Online-Schulung richtet sich an Einsteiger*innen und es werden keine Vorkenntnisse vorausgesetzt.
Adobe Firefly lässt sich bis zu einem bestimmten Rahmen kostenlos nutzen. Darüber hinaus wird es kostenpflichtig.
Anmeldung hier
Als virtuellen Lernort werden wir ZOOM nutzen. Der ZOOM-Link wird einen Tag vor Schulungsbeginn bis 13:00 Uhr versendet.
Institutions
- Multimedia Kontor Hamburg gGmbH
Prompt my Song! 30 Minuten zu: Musik- und Soundgenerierung mit KI-Tools
In dieser 30-minütigen Online-Schulung erfahren Sie, wie künstliche Intelligenz die Musikproduktion revolutioniert. Sie erhalten eine grundlegende Einführung in die Möglichkeiten von KI-Tools für die Musikproduktion und Soundgenerierung.
Wir stellen Ihnen die gängigsten und benutzerfreundlichsten KI-Tools zur Musik- und Soundgenerierung vor, damit Sie selbst kreativ werden können – ohne musikalische Vorkenntnisse!
Diese Schulung ist speziell für Einsteiger*innen konzipiert, die wenig bis keine Erfahrung mit Musikproduktion oder KI haben.
Anmeldung hier
Als virtuellen Lernort werden wir ZOOM nutzen. Der ZOOM-Link wird einen Tag vor Schulungsbeginn bis 13:00 Uhr versendet.
Institutions
- Multimedia Kontor Hamburg gGmbH
Prompt my Song! 30 Minuten zu: Musik- und Soundgenerierung mit KI-Tools
In dieser 30-minütigen Online-Schulung erfahren Sie, wie künstliche Intelligenz die Musikproduktion revolutioniert. Sie erhalten eine grundlegende Einführung in die Möglichkeiten von KI-Tools für die Musikproduktion und Soundgenerierung.
Wir stellen Ihnen die gängigsten und benutzerfreundlichsten KI-Tools zur Musik- und Soundgenerierung vor, damit Sie selbst kreativ werden können – ohne musikalische Vorkenntnisse!
Diese Schulung ist speziell für Einsteiger*innen konzipiert, die wenig bis keine Erfahrung mit Musikproduktion oder KI haben.
Als virtuellen Lernort werden wir ZOOM nutzen. Der ZOOM-Link wird einen Tag vor Schulungsbeginn bis 13:00 Uhr versendet.
Institutions
- Multimedia Kontor Hamburg gGmbH
Public Lecture Series: Taming the Machines. A Fallibilist Approach to AI Value Alignment
This lecture series invites viewpoints from different relevant disciplines to explore how we can preserve and advance human values through the development and use of AI technologies. Key questions include: How does AI impact our fundamental social, political, and economic structures? What does it mean to lead a meaningful life in the AI age? What design and regulatory decisions should we make to ensure digital transformations are fair and sustainable?
Prof. Dr. Ibo van de Poel, Delft University of Technology, NL
Value alignment is important to ensure that AI systems remain aligned with human intentions, preferences, and values. It has been suggested that it can best be achieved by building AI systems that can track preferences or values in real-time. In my talk, I argue against this idea of real-time value alignment. First, I show that the value alignment problem is not unique to AI, but applies to any technology, thus opening up alternative strategies for attaining value alignment. Next, I argue that due to uncertainty about appropriate alignment goals, real-time value alignment may lead to harmful optimization and therefore will likely do more harm than good. Instead, it is better to base value alignment on a fallibilist epistemology, which assumes that complete certainty about the proper target of value alignment is and will remain impossible. Three alternative principles for AI value alignment are proposed: 1) adopt a fallibilist epistemology regarding the target of value alignment; 2) focus on preventing serious misalignments rather than aiming for perfect alignment; 3) retain AI systems under human control even if it comes at the cost of full value alignment.
Institutions
- UHH
Public Lecture Series: Taming the Machines. About 'The Human' in Artificial Intelligence
For better or worse, the revolutionary potential of AI has reached public consciousness, with a growing recognition of the ways that AI might change how we live and work together. Indeed, the fabric of society is already changing in front of our very eyes, with powerful profiteers of AI rallying behind its supposed inevitability. The AI revolution is afoot and it seems as if there is nothing that we can do about it. However, Donald Trump’s emerging alliance with Silicon Valley’s “Magnificent Seven” provides a potent reason for pause and for sustained reflection on the path we are collectively treading.
To discuss how AI, like any other technology, is part of a societal process of struggle, negotiation, and cooperation, this lecture series brings together experts from philosophy, law, and cognitive science. How are technologies like AI grounded in social processes of knowledge production, design, and innovation? What is the environmental impact of AI systems and what ecological responsibilities fall to providers, politicians, and users? What is the human rights impact of AI technologies deployed in military and security contexts? And what, to speak with Nietzsche, renders AI ‘all too human’ after all?
Join us at our “Taming the Machine” lecture series this summer term to explore with our distinguished guests these and other related questions. To get the latest updates and details how to attend the lectures, please visit http://uhh.de/inf-eit.
Institutions
- UHH
Public Lecture Series: Taming the Machines. AI and the Future of Work
This lecture series invites viewpoints from different relevant disciplines to explore how we can preserve and advance human values through the development and use of AI technologies. Key questions include: How does AI impact our fundamental social, political, and economic structures? What does it mean to lead a meaningful life in the AI age? What design and regulatory decisions should we make to ensure digital transformations are fair and sustainable?
Prof. Dr. Kate Vredenburgh, London School of Economics, GB
Current AI regulation in the EU and globally focus on trustworthiness and accountability, as seen in the AI Act and AI Liability instruments. Yet, they overlook a critical aspect: environmental sustainability. This talk addresses this gap by examining the ICT sector's significant environmental impact. AI technologies, particularly generative models like GPT-4, contribute substantially to global greenhouse gas emissions and water consumption.
The talk assesses how existing and proposed regulations, including EU environmental laws and the GDPR, can be adapted to prioritize sustainability. It advocates for a comprehensive approach to sustainable AI regulation, beyond mere transparency mechanisms for disclosing AI systems' environmental footprint, as proposed in the EU AI Act. The regulatory toolkit must include co-regulation, sustainability-by-design principles, data usage restrictions, and consumption limits, potentially integrating AI into the EU Emissions Trading Scheme. This multidimensional strategy offers a blueprint that can be adapted to other high-emission technologies and infrastructures, such as block chain, the meta-verse, or data centers. Arguably, it is crucial for tackling the twin key transformations of our society: digitization and climate change mitigation.
Institutions
- UHH
Public Lecture Series: Taming the Machines. AI, Art and Authorship. Perspectives From Ethics and Aesthetics
Institutions
- UHH
Public Lecture Series: Taming the Machines. AI, Explainability and Epistemic Dependence
About the lecture: tbd
About the speaker
Jocelyn Maclure is Full Professor of Philosophy and Jarislwosky Chair in Human Nature and Technology at McGill University. His current work addresses various topics in the philosophy of artificial intelligence and in social epistemology. In 2023, he was Mercator Visiting Professor for AI in the Human Context at the University of Bonn. His recent articles appeared in journals such as Minds & Machines, AI & Ethics, AI & Society and Digital Society. He was the president of the Quebec Ethics in Science and Technology Commission—and advisory body of the Quebec Government—from 2017 to 2024. Before turning his attention to the philosophy of AI, he published extensively in moral and political philosophy, including, with Charles Taylor, Secularism and Freedom of Conscience (Harvard University Press (2011). He was elected to the Royal Society of Canada in 2023.
The talk explores the question of whether Artificial Intelligence (AI) can truly create art, or if there is an essential “human factor” in art production. Against the background of AI’s growing capabilities, traditional concepts in art theory like authorship are reconsidered. It is argued that authorship is a necessary condition for art, while aesthetic responsibility is at least a necessary condition for authorship of artworks. Although AI can function as an aesthetic agent, it cannot bear aesthetic responsibility. Therefore, it can neither on its own nor in cooperation with humans be the author of artworks. However, AI is able to produce objects that are in their manifest properties indistinguishable from works of art, I will speak of “fake art.” It will be shown to what extent the massive occurrence of AI-generated fake art has a detrimental effect on art practice.Institutions
- UHH
Public Lecture Series: Taming the Machines. AI, Human Rights and the Surveillance State
For better or worse, the revolutionary potential of AI has reached public consciousness, with a growing recognition of the ways that AI might change how we live and work together. Indeed, the fabric of society is already changing in front of our very eyes, with powerful profiteers of AI rallying behind its supposed inevitability. The AI revolution is afoot and it seems as if there is nothing that we can do about it. However, Donald Trump’s emerging alliance with Silicon Valley’s “Magnificent Seven” provides a potent reason for pause and for sustained reflection on the path we are collectively treading.
To discuss how AI, like any other technology, is part of a societal process of struggle, negotiation, and cooperation, this lecture series brings together experts from philosophy, law, and cognitive science. How are technologies like AI grounded in social processes of knowledge production, design, and innovation? What is the environmental impact of AI systems and what ecological responsibilities fall to providers, politicians, and users? What is the human rights impact of AI technologies deployed in military and security contexts? And what, to speak with Nietzsche, renders AI ‘all too human’ after all?
Join us at our “Taming the Machine” lecture series this summer term to explore with our distinguished guests these and other related questions. To get the latest updates and details how to attend the lectures, please visit http://uhh.de/inf-eit.
Institutions
- UHH
Public Lecture Series: Taming the Machines. Artificial Intelligence and Progress? A Pragmatist, Justice-Oriented Critique
Prof. Dr. Jan-Christoph Heilinger, Universität Witten/Herdecke, DE
AI in its many forms is often presented as a driver of “progress”: improving lives, accelerating solutions, and expanding human possibilities. This talk offers a critical framework for assessing such claims. Drawing on a pragmatist understanding of progress, it proposes that genuine progress consists in removing entrenched obstacles to human flourishing – especially where deprivation, exclusion, and domination persist.
Against this standard, I examine how and why AI’s most celebrated promises often misfire. First, the political economy of AI entails massive opportunity costs: While severe deprivation remains cheaply preventable, extraordinary resources are channelled into ever more powerful IT systems. Second, “sustainable AI” narratives often function as a reputational alibi rather than meeting defensible threshold standards of sustainability.
The critical conclusion is not anti-technology, but firmly pro-justice. It is imperative to resist any potential hypes, to ask critical questions, and to accept responsibility for just regulation and reform as a shared political task. Furthermore, genuine progress needs to begin by taking seriously those at the margins.
- UHH
Public Lecture Series: Taming the Machines. Creativity & AI
For better or worse, the revolutionary potential of AI has reached public consciousness, with a growing recognition of the ways that AI might change how we live and work together. Indeed, the fabric of society is already changing in front of our very eyes, with powerful profiteers of AI rallying behind its supposed inevitability. The AI revolution is afoot and it seems as if there is nothing that we can do about it. However, Donald Trump’s emerging alliance with Silicon Valley’s “Magnificent Seven” provides a potent reason for pause and for sustained reflection on the path we are collectively treading.
To discuss how AI, like any other technology, is part of a societal process of struggle, negotiation, and cooperation, this lecture series brings together experts from philosophy, law, and cognitive science. How are technologies like AI grounded in social processes of knowledge production, design, and innovation? What is the environmental impact of AI systems and what ecological responsibilities fall to providers, politicians, and users? What is the human rights impact of AI technologies deployed in military and security contexts? And what, to speak with Nietzsche, renders AI ‘all too human’ after all?
Join us at our “Taming the Machine” lecture series this summer term to explore with our distinguished guests these and other related questions. To get the latest updates and details how to attend the lectures, please visit http://uhh.de/inf-eit.
Institutions
- UHH
Public Lecture Series: Taming the Machines. Cybernetic Authoritarianism: On Silicon Valley’s Technofascism
Prof. Dr. Anna-Verena Nosthoff, Carl von Ossietzky Universität Oldenburg, DE
Artificial intelligence is rapidly becoming a structuring force in contemporary life. From scientific research and public administration to everyday communication and self-understanding, AI systems shape how we act, decide, and relate to one another. Yet their rapid diffusion raises urgent philosophical and political questions: What kind of progress does AI promise and for whom? How do algorithmic systems transform responsibility, agency, and justice? Who is likely to suffer from the watchful eye of AI systems? Can democratic societies meaningfully govern technologies that increasingly govern them?
This semester of Taming the Machines explores these questions from interdisciplinary perspectives in philosophy, political theory, and science and technology studies. We invite you to reflect with us on AI as a site of power and normativity, and examine its role in economic and political ordering, surveillance and security, knowledge production, and the formation of subjectivity. And also to considers more intimate dimensions, such has how interactions with such systems might reshape self-knowledge, dialogue, creativity, and even solitude.
Institutions- UHH
Public Lecture Series: Taming the Machines. Ethics in the Age of Generative AI
Taming the Machines — Horizons of Artificial Intelligence. The Ethics in Information Technology Public Lecture Series
This summer‘s „Taming the Machine“ lecture series sheds light on the ethical, political, legal, and societal dimensions of Artificial Intelligence (AI).This lecture series brings together perspectives from ethics, politics, law, geography, and media studies to assess the potential for preserving and developing human values in the design, dissemination, and application of AI technologies. How does AI challenge our most fundamental social, political, and economic institutions? How can we bolster (or even improve) them in times of technological disruption? What regulations are needed to render AI environments fairer and more transparent? What needs to be done to make them more sustainable? In what sense could (and even should) we hold AI accountable?
To explore these and other related questions, this public lecture series invites distinguished international researchers to present and discuss their work. To get the latest updates and details how to attend the lectures, please visit http://uhh.de/inf-eit.
Prof. Dr. Louise Amoore, Durham University, Durham, UK
Institutions
- UHH
Public Lecture Series: Taming the Machines. Frontier AI Regulation: from Trustworthiness to Sustainability
Taming the Machines — Horizons of Artificial Intelligence. The Ethics in Information Technology Public Lecture Series
This summer‘s „Taming the Machine“ lecture series sheds light on the ethical, political, legal, and societal dimensions of Artificial Intelligence (AI).This lecture series brings together perspectives from ethics, politics, law, geography, and media studies to assess the potential for preserving and developing human values in the design, dissemination, and application of AI technologies. How does AI challenge our most fundamental social, political, and economic institutions? How can we bolster (or even improve) them in times of technological disruption? What regulations are needed to render AI environments fairer and more transparent? What needs to be done to make them more sustainable? In what sense could (and even should) we hold AI accountable?
To explore these and other related questions, this public lecture series invites distinguished international researchers to present and discuss their work. To get the latest updates and details how to attend the lectures, please visit http://uhh.de/inf-eit.
Prof. Dr. Philipp Hacker, European University Viadrina, Frankfurt (Oder), D
The talk assesses how existing and proposed regulations, including EU environmental laws and the GDPR, can be adapted to prioritize sustainability. It advocates for a comprehensive approach to sustainable AI regulation, beyond mere transparency mechanisms for disclosing AI systems' environmental footprint, as proposed in the EU AI Act. The regulatory toolkit must include co-regulation, sustainability-by-design principles, data usage restrictions, and consumption limits, potentially integrating AI into the EU Emissions Trading Scheme. This multidimensional strategy offers a blueprint that can be adapted to other high-emission technologies and infrastructures, such as block chain, the meta-verse, or data centers. Arguably, it is crucial for tackling the twin key transformations of our society: digitization and climate change mitigation.
Institutions
- UHH
Public Lecture Series: Taming the Machines. Frontier AI Regulation: from Trustworthiness to Sustainability
This lecture series invites viewpoints from different relevant disciplines to explore how we can preserve and advance human values through the development and use of AI technologies. Key questions include: How does AI impact our fundamental social, political, and economic structures? What does it mean to lead a meaningful life in the AI age? What design and regulatory decisions should we make to ensure digital transformations are fair and sustainable?
Prof. Dr. Philipp Hacker, European University Viadrina, Frankfurt (Oder), DE
Current AI regulation in the EU and globally focus on trustworthiness and accountability, as seen in the AI Act and AI Liability instruments. Yet, they overlook a critical aspect: environmental sustainability. This talk addresses this gap by examining the ICT sector's significant environmental impact. AI technologies, particularly generative models like GPT-4, contribute substantially to global greenhouse gas emissions and water consumption.
The talk assesses how existing and proposed regulations, including EU environmental laws and the GDPR, can be adapted to prioritize sustainability. It advocates for a comprehensive approach to sustainable AI regulation, beyond mere transparency mechanisms for disclosing AI systems' environmental footprint, as proposed in the EU AI Act. The regulatory toolkit must include co-regulation, sustainability-by-design principles, data usage restrictions, and consumption limits, potentially integrating AI into the EU Emissions Trading Scheme. This multidimensional strategy offers a blueprint that can be adapted to other high-emission technologies and infrastructures, such as block chain, the meta-verse, or data centers. Arguably, it is crucial for tackling the twin key transformations of our society: digitization and climate change mitigation.
Institutions
- UHH
Public Lecture Series: Taming the Machines. God, Golem, and Gadget Worshippers: Meaning of Life in the Digital Age
Taming the Machines — Horizons of Artificial Intelligence. The Ethics in Information Technology Public Lecture Series
This summer‘s „Taming the Machine“ lecture series sheds light on the ethical, political, legal, and societal dimensions of Artificial Intelligence (AI).This lecture series brings together perspectives from ethics, politics, law, geography, and media studies to assess the potential for preserving and developing human values in the design, dissemination, and application of AI technologies. How does AI challenge our most fundamental social, political, and economic institutions? How can we bolster (or even improve) them in times of technological disruption? What regulations are needed to render AI environments fairer and more transparent? What needs to be done to make them more sustainable? In what sense could (and even should) we hold AI accountable?
To explore these and other related questions, this public lecture series invites distinguished international researchers to present and discuss their work. To get the latest updates and details how to attend the lectures, please visit http://uhh.de/inf-eit.
Prof. Dr. Mathias Risse, John F. Kennedy School of Government, Harvard University, Cambridge, MA, USA
Institutions
- UHH
Public Lecture Series: Taming the Machines. Growing Up in the Midst of the AI Goldrush: from Data Scares to Data Scars
Taming the Machines — Horizons of Artificial Intelligence. The Ethics in Information Technology Public Lecture Series
This summer‘s „Taming the Machine“ lecture series sheds light on the ethical, political, legal, and societal dimensions of Artificial Intelligence (AI).This lecture series brings together perspectives from ethics, politics, law, geography, and media studies to assess the potential for preserving and developing human values in the design, dissemination, and application of AI technologies. How does AI challenge our most fundamental social, political, and economic institutions? How can we bolster (or even improve) them in times of technological disruption? What regulations are needed to render AI environments fairer and more transparent? What needs to be done to make them more sustainable? In what sense could (and even should) we hold AI accountable?
To explore these and other related questions, this public lecture series invites distinguished international researchers to present and discuss their work. To get the latest updates and details how to attend the lectures, please visit http://uhh.de/inf-eit.
Prof. Dr. Andra Siibak, University of Tartu, Tartu, Estland
Present day children’s futures are decided by algorithms predicting their probability of success at school, their suitability for a job position, their likely recidivism or mental health problems. Advances in predictive analytics, artificial intelligence (AI) systems, behavioral-, and biometrics technologies, have started to be aggressively used for monitoring, aggregating, and analyzing children’s data. Such dataveillance happening both in homes, schools, and peer networks has a profound impact not only on children’s preferences, social relations, life chances, rights and privacy but also the "future of human agency - and ultimately, of society and culture" (Mascheroni & Siibak 2021: 169).
Building upon the findings of my different empirical case studies, I will showcase how the popular digital parenting practices and the growing datafication happening in the education sector, could create not only hypothetical data scares but also lead to real data scars in the lives of the young.
Institutions
- UHH
Public Lecture Series: Taming the Machines. How Should We Talk about AI Ethics?
Taming the Machines — Horizons of Artificial Intelligence. The Ethics in Information Technology Public Lecture Series
This summer‘s „Taming the Machine“ lecture series sheds light on the ethical, political, legal, and societal dimensions of Artificial Intelligence (AI).This lecture series brings together perspectives from ethics, politics, law, geography, and media studies to assess the potential for preserving and developing human values in the design, dissemination, and application of AI technologies. How does AI challenge our most fundamental social, political, and economic institutions? How can we bolster (or even improve) them in times of technological disruption? What regulations are needed to render AI environments fairer and more transparent? What needs to be done to make them more sustainable? In what sense could (and even should) we hold AI accountable?
To explore these and other related questions, this public lecture series invites distinguished international researchers to present and discuss their work. To get the latest updates and details how to attend the lectures, please visit http://uhh.de/inf-eit.
Vincent C. Müller is AvH Professor for Philosophy and Ethics of AI and Director of the Centre for Philosophy and AI Research (PAIR) at FAU Erlangen-Nuremberg
It is now frequently observed that there is no proper scope and no proper method in the discipline of AI-ethics. This has become an issue in the development towards maturity of the discipline, e.g. canonical problems, positions, arguments … secure steps forward. We propose a minimal, yet universal view of the field (again Müller 2020). Given this proposal, we will know the scope and the method, and we can appreciate the wide set of contributions.
Institutions
- UHH
Universität Hamburg
Adeline Scharfenberg