machine learning
Events
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. 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. 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
Public Lecture Series: Taming the Machines. How to Achieve Digital Sovereignty in Europe?
Prof. Dr. José van Dijck (Utrecht University, NL)
The growing dominance of two global platform ecosystems has left European countries to rely on American and Chinese digitale infrastructures. This dependency is not just affecting markets and labor relations, but is also transforming social practices, and affecting democracies. While two large ecosystems fight for information control in the global online world, the European perspective on digital infrastructures is focused on regulation rather than on building alternatives. With emerging technologies such as generative AI (ChatGPT, Bard) and geopolitical changes, the infrastructural perspective becomes more poignant. How can Europe achieve sovereignty in the digital world?
This lecture takes up two questions. First, what public values are fundamental to Europe’s platform societies? Values such as privacy, security, transparency, equality, public trust, and (institutional, professional) autonomy are important principles upon which the design of platform architectures should be based. Second, what are the responsibilities of companies, governments, and citizens in building an alternative, sustainable platform ecosystem based on those public values?
Institutions
- UHH
Public Lecture Series: Taming the Machines. Implicit Knowledge in Human-Machine Relationships. A Philosophical Investigation
Institutions
- UHH
Public Lecture Series: Taming the Machines. Misinformation
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. Repairing AI for Environmental Justice
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. Aimee van Wynsberghe, Rheinische Friedrich-Wilhelms-Universität Bonn, D
Institutions
- UHH
Public Lecture Series: Taming the Machines. Repairing AI for Environmental Justice
Aimee van Wynsberghe is the Alexander von Humboldt Professor for Applied Ethics of Artificial Intelligence at the University of Bonn in Germany. Aimee is director of the Institute for Science and Ethics and the Bonn Sustainable AI lab. She is co-director of the Foundation for Responsible Robotics and a member of the European Commission's High-Level Expert Group on AI. In each of her roles, Aimee works to uncover the ethical risks associated with emerging robotics and AI. Aimee’s current research, funded by the Alexander von Humboldt Foundation, brings attention to the sustainability of AI by studying the hidden environmental costs of developing and using AI.
Institutions
- UHH
Public Lecture Series: Taming the Machines. Risk Ethics and Big Tech Business
Prof. Dr. Sven Ove Hansson (Uppsala University, SE)
About the lecture
tbd
Institutions- UHH
Public Lecture Series: Taming the Machines. The Future of Prediction. Algorithmic Forecast in Science and Society
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?
Speaker: Prof. Dr. Elena Esposito, Universität Bielefeld, DE
Institutions
- UHH
Public Lecture Series: Taming the Machines. What, if anything, are convivial technologies?
Prof. Dr. Darian Meacham (Maastricht University, NL)
This talk will focus on how this distinction between convivial and monopolistic (or non-convivial) technologies can support a critical phenomenology of technology. I will argue that Gorz attempts to do just this, but that his development of the “convivial – un-convivial” distinction in terms of a broader account of “autonomy” vs “heteronomy” would benefit from a more phenomenologically grounded account of autonomy. I will pose (and try to address) the question of whether a more embodied account of autonomy, such as developed within the context of enactive approaches to cognition would serve such an aim.
A third step will be to ask if and how an enactively enriched notion of autonomy, when situated within the critique of technology and economic rationality, can contribute to the development of programmes for “concrete utopias”.
Institutions
- UHH
Remote sensing and machine learning for environmental monitoring: Opportunities and challenges
Explore the transformative potential of the Population Dynamics Foundation Model (PDFM), a cutting-edge AI model designed to capture complex, multidimensional interactions among human behaviors, environmental factors, and local contexts. This workshop provides an in-depth introduction to PDFM Embeddings and their applications in geospatial analysis, public health, and socioeconomic modeling.
Participants will gain hands-on experience with PDFM Embeddings to perform advanced geospatial predictions and analyses while ensuring privacy through the use of aggregated data. Key components of the workshop include:
- Introduction to PDFM Embeddings: Delve into the model architecture of PDFM and discover how aggregated data (such as search trends, busyness levels, and weather conditions) generates location-specific embeddings.
- Data Preparation: Learn to integrate ground truth data, including health statistics and socioeconomic indicators, with PDFM Embeddings at the postal code or county level.
- Hands-On Exercises: Engage with interactive Colab notebooks to explore real-world applications, such as predicting housing prices using Zillow data and nighttime light predictions with Google Earth Engine data.
- Visualization and Interpretation: Analyze and visualize geospatial predictions and PDFM features in 3D, enhancing your ability to interpret complex datasets.
By the end of this workshop, participants will have a strong foundation in utilizing PDFM Embeddings to address real-world geospatial challenges.
Institution
- AI for Good
Universität Hamburg
Adeline Scharfenberg