law

Events

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Monday, December 11th, 2023 | 18:00 p.m.

AI regulation’s measurement problem: Assessing the risks of automated decision-making systems to health, safety, fundamental rights, and the rule of law

Professor Dr. Carsten Gerner-Beuerle, Professor of Commercial Law, Faculty of Laws, University College London

The Network for Artificial Intelligence and Law (NAIL) invites you to its next event. We are delighted to welcome Professor Dr. Carsten Gerner-Beuerle, Faculty of Laws, University College London. He will talk about the difficulties of assessing the precise risks to health, safety, fundamental rights and the rule of law when regulating artificial intelligence. The lecture will be followed by a discussion around the topic. The event will be held in English.

After the lecture and discussion, we would like to invite you to end the evening with us in a relaxed atmosphere, with pretzels and wine in the south lounge.

You can participate in presence or online. Please register for the event using the following link: Registration

Institutions

  • Network for Artificial Intelligence and Law (NAIL)

 

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Wednesday, December 11th, 2024 | 18:00 - 19:30 p.m.

Cyberkriminalität im Kontext generativer KI

Rothenbaumchaussee 33, 20148 Hamburg, A125

RA Dr. Dr. Fabian Teichmann, LL.M.

Alle sind herzlich eingeladen!

Eine Bescheinigung nach § 15 FAO (IT-Recht und Strafrecht) kann nach vorheriger Anmeldung unter sekretariat.cornelius.jura@uni-hamburg.de ausgestellt werden.

Institution

  • Fakultät für Rechtswissenschaft
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Wednesday, March 12th 2025 | 10:00 - 12:30 a.m.

KI-Verordnung – was nun? Herausforderungen des AI Acts für Hochschulen

via Zoom

Künstliche Intelligenz und vor allem generative KI-Modelle haben in Hochschulen nicht erst in den letzten 2,5 Jahren einen deutlich gestiegenen Einsatz erfahren sowie wachsende Anwendungskontexte erschlossen. Dennoch ist die rechtliche Einordnung und Bewertung für Hochschulen noch immer eine große Herausforderung, da es zu Beginn an gesetzlichen Regelungen und auch konkreten Rechtsprechungen mangelte. Auch war und ist das Rollenverständnis für Hochschulen in diesem Kontext oft noch relativ diffus. Mit dem europäischen AI Act und diversen Rechtsprechungen liegen aber zunehmend rechtliche Leitplanken vor, an denen sich die Hochschulen orientieren können und auch müssen. Was bedeutet das aber konkret für die Hochschulen? Unter anderem mit den nachfolgenden Fragestellungen wollen wir uns im Rahmen dieser Online-Veranstaltung in vier Impulsbeiträgen beschäftigen und auch Raum für Nachfragen bieten:

  • Welchen Rechtsrahmen benötigen Hochschulen vor dem Hintergrund der KI-Verordnung für den Anwendungsbereich der Lehre?
  • Welche Aspekte wären für den Geltungsbereich in der Forschung relevant?
  • Wie muss das Prüfungsrecht im Umgang mit Hochrisikosystemen ausgestaltet werden?
  • Welche Implikationen ergeben sich aus dem Urheberrecht und dem Datenschutz für Hochschulen in der Rolle als KI-Anbieter?
  • Welche weiteren Anforderungen ergeben sich aus dem AI Act für Hochschulen?
  • Und wie müssen die Angehörigen einer Hochschule ggf. dafür qualifiziert werden?
 

Institution

  • Multimedia Kontor Hamburg gGmbH (MMKH)
  • e-learning academic network (elan e.V.) 
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Monday, January 20th, 2025 | 6:00 p.m.

NAIL Research Seminar #19: Game Over: Facing the AI Negotiator

UHH, Institut für Recht und Ökonomik, Alsterterrasse 1, Raum AT223

Professor Christoph Kumpan and Professor Georg Ringe would like to invite you to the NAIL Research Seminar #19 on Monday, 20 January 2025, starting at 18h00 (CET), with Prof. Horst Eidenmüller (University of Oxford), who will give a presentation titled "Game Over: Facing the AI Negotiator".

The lecture will be followed by a discussion on the topic. The event will be held in English and will take place in person in Room AT223 at the University of Hamburg (Alsterterasse 1). You can also participate online by registering your participation via mail.

Abstract: AI applications will put an end to negotiation processes as we know them. The typical back-and-forth communication and haggling in a state of information insecurity could soon be a thing of the past. AI applications will increase the information level of the parties and drastically reduce transaction costs. A quick and predictable agreement in the middle of a visible bargaining range could become the new normal. But sophisticated negotiators will shift this bargaining range to their advantage. They will automate negotiation moves and execute value-claiming strategies with precision, exploiting remaining information asymmetries to their advantage. Prof. Eidenmüller will examine the transformative effects of these developments on negotiation processes, highlighting the critical need to understand how technology reshapes power dynamics and strategic behavior among stakeholders.

More information about the NAIL project is available on our institutional website. Please subscribe to our mailing list to receive notifications for future events.

Institutions

  • Network for Artificial Intelligence and Law (NAIL)
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Monday, May 12th, 2025 | 6:00 p.m.

NAIL Research Seminar #20: The use of AI in medical practice: profiles of liability

Bucerius Law School, Room 1.11

Professor Christoph Kumpan and Professor Georg Ringe would like to invite you to the NAIL Research Seminar #20, with Dr. Monica Gigola (University of Genoa).

Abstract: The subject of my research concerns the impact that scientific and technological advances in artificial and computational science, hence robotics and artificial intelligence that have determined and are determining not only in the contractual sphere, in the civil liability system, but also at the European level, particularly in the health care sphere, in the light of regulatory developments, jurisprudential contributions and the effects produced by technological development.
Particularly in the health care field, the question arises as to which liability criteria are applicable when it is not easy to establish whether or not the prerequisites for the assertion of a direct liability of the facility or the physician are met.
At the root of the problem are, first of all, the characters of the AI tools -called the black box- which does not allow the operator access to the processes through which the desired result is reached, being unable to understand or verify the logical process and the reasons for the machine's choices. First of all, it is necessary to divide the etiology of possible damaging events caused by AI systems into two distinct areas, those that trace the cause back to malpractice behaviors of the doctor and those in which the cause of the event appears to fall under machine malfunction problems.While the legislation seems to be directed toward a more precise and updated definition of digital product with the adoption of the new Directive (EU) 2024/2853, it seems necessary to identify ad hoc legislation, at the national level, such as a double track between the recent European regulation and the system provided by the Gelli-Bianco law.s.

Please register for the event via this link. More information about the NAIL project is available on our institutional website. Please subscribe to our mailing list to receive notifications for future events.

Institutions

  • Network for Artificial Intelligence and Law (NAIL)
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Tuesday, January 27th, 2024 | 18:15 - 19:45 p.m.

Public Lecture Series: Taming the Machines. A Fallibilist Approach to AI Value Alignment

UHH, Main Building, ESA 1 Ost Raum O221
Artificial Intelligence (AI) technologies have become central to numerous aspects of our lives, and are significantly reshaping them. These include our homes, our workplaces, industries in general, schools and academia, but also government, law enforcement and warfare. While AI technologies present many opportunities, they have also been shown to reinforce existing injustices, to threaten human rights, and to exacerbate the climate crisis. This begs the question: How can we collectively and meaningfully shape the digital society we live in, and who is to decide on the agenda? 
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?  
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. 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
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Tuesday, July 8th, 2025 | 18:15 - 19:45 p.m.

Public Lecture Series: Taming the Machines. About 'The Human' in Artificial Intelligence

Main Building, Edmund-Siemers-Allee 1, East Wing, Room 221
This upcoming iteration of our "Taming the Machine" lecture series sheds light on the social background that AI technologies are embedded in.
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.
 
Prof. Dr. Jessica Heesen, Eberhard Karls Universität Tübingen, D

Institutions

  • UHH
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Tuesday, December 09th, 2024 | 18:15 - 19:45 p.m.

Public Lecture Series: Taming the Machines. AI and the Future of Work

UHH, Main Building, ESA 1 Ost Raum O221
Artificial Intelligence (AI) technologies have become central to numerous aspects of our lives, and are significantly reshaping them. These include our homes, our workplaces, industries in general, schools and academia, but also government, law enforcement and warfare. While AI technologies present many opportunities, they have also been shown to reinforce existing injustices, to threaten human rights, and to exacerbate the climate crisis. This begs the question: How can we collectively and meaningfully shape the digital society we live in, and who is to decide on the agenda? 
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?  
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. 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
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Tuesday, June 10th, 2025 | 18:15 - 19:45 p.m.

Public Lecture Series: Taming the Machines. AI, Human Rights and the Surveillance State

Main Building, Edmund-Siemers-Allee 1, East Wing, Room 221
This upcoming iteration of our "Taming the Machine" lecture series sheds light on the social background that AI technologies are embedded in.
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.
 
Dr. Daragh Murray, Queen Mary University London, UK

Institutions

  • UHH
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Tuesday, July 15th, 2025 | 18:15 - 19:45 p.m.

Public Lecture Series: Taming the Machines. Creativity & AI

Main Building, Edmund-Siemers-Allee 1, East Wing, Room 221
This upcoming iteration of our "Taming the Machine" lecture series sheds light on the social background that AI technologies are embedded in.
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.
 
Prof. Dr. Markus F. Peschl, Universität Wien, AT

Institutions

  • UHH
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Tuesday, December 02th, 2024 | 18:15 - 19:45 p.m.

Public Lecture Series: Taming the Machines. Frontier AI Regulation: from Trustworthiness to Sustainability

UHH, Main Building, ESA 1 Ost Raum O221
Artificial Intelligence (AI) technologies have become central to numerous aspects of our lives, and are significantly reshaping them. These include our homes, our workplaces, industries in general, schools and academia, but also government, law enforcement and warfare. While AI technologies present many opportunities, they have also been shown to reinforce existing injustices, to threaten human rights, and to exacerbate the climate crisis. This begs the question: How can we collectively and meaningfully shape the digital society we live in, and who is to decide on the agenda? 
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?  
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), 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
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Tuesday, July 09th, 2024 | 18:15 - 19:45 p.m.

Public Lecture Series: Taming the Machines. Frontier AI Regulation: from Trustworthiness to Sustainability

UHH, Main Building, West Wing, Edmund-Siemers-Allee 1, Room 221

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
 
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
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Tuesday, June 3th, 2025 | 18:15 - 19:45 p.m.

Public Lecture Series: Taming the Machines. Misinformation

Main Building, Edmund-Siemers-Allee 1, East Wing, Room 221
This upcoming iteration of our "Taming the Machine" lecture series sheds light on the social background that AI technologies are embedded in.
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.
 
Prof. Dr. Gloria Origgi, National Centre for Scientific Research (CNRS), Institut Jean Nicod, Paris, FR

Institutions

  • UHH
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Tuesday, June 24th, 2025 | 18:15 - 19:45 p.m.

Public Lecture Series: Taming the Machines. Repairing AI for Environmental Justice

Main Building, Edmund-Siemers-Allee 1, East Wing, Room 221
Let us imagine that Artificial Intelligence (AI) is broken. Not in the physical sense in which pieces are falling apart and need to be put together; rather, in the metaphorical sense in which there are serious ethical concerns related to the design and development of AI that demand repair. In this talk I will outline a definition of Sustainable AI as an umbrella term to cover two branches with different aims and methods: AI for sustainability vs the sustainability of AI. I will show that AI for sustainability holds great promise but is lacking in one crucial aspect; it fails to account for the environmental impact from the development of AI. Alternatively, the environmental impact of AI training (and tuning) sits at the core of the sustainability of AI, for example measuring carbon emissions and electricity consumption, water and land usage, and regulating the mining of precious minerals. All of these environmental consequences fall on the shoulders of the most marginalized and vulnerable demographics across the globe (e.g. the slave like working conditions in the mining of minerals, the coastal communities susceptible to unpredictable weather conditions). By placing environmental consequences in the centre one is forced to recognize the environmental justice concerns underpinning all AI models. The question then becomes, how can the AI space be repaired to transform current structures and practices that systemically exacerbate environmental justice issues with the consequence of further marginalizing vulnerable groups.
 
Prof. Dr. Aimee van Wynsberghe, Rheinische Friedrich-Wilhelms-Universität Bonn
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
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Tuesday, June 25th, 2024 | 18:15 - 19:45 p.m.

Public Lecture Series: Taming the Machines. Repairing AI for Environmental Justice

UHH, Main Building, West Wing, Edmund-Siemers-Allee 1, Room 221

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

Let us imagine that Artificial Intelligence (AI) is broken. Not in the physical sense in which pieces are falling apart and need to be put together; rather, in the metaphorical sense in which there are serious ethical concerns related to the design and development of AI that demand repair. In this talk I will outline a definition of Sustainable AI as an umbrella term to cover two branches with different aims and methods: AI for sustainability vs the sustainability of AI. I will show that AI for sustainability holds great promise but is lacking in one crucial aspect; it fails to account for the environmental impact from the development of AI.
 
Alternatively, the environmental impact of AI training (and tuning) sits at the core of the sustainability of AI, for example measuring carbon emissions and electricity consumption, water and land usage, and regulating the mining of precious minerals. All of these environmental consequences fall on the shoulders of the most marginalized and vulnerable demographics across the globe (e.g. the slave like working conditions in the mining of minerals, the coastal communities susceptible to unpredictable weather conditions). By placing environmental consequences in the centre one is forced to recognize the environmental justice concerns underpinning all AI models. The question then becomes, how can the AI space be repaired to transform current structures and practices that systemically exacerbate environmental justice issues with the consequence of further marginalizing vulnerable groups.

Institutions

  • UHH
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Tuesday, January 20th, 2025 | 18:15 - 19:45 p.m.

Public Lecture Series: Taming the Machines. The Future of Prediction. Algorithmic Forecast in Science and Society

UHH, Main Building, ESA 1 Ost Raum O221
Artificial Intelligence (AI) technologies have become central to numerous aspects of our lives, and are significantly reshaping them. These include our homes, our workplaces, industries in general, schools and academia, but also government, law enforcement and warfare. While AI technologies present many opportunities, they have also been shown to reinforce existing injustices, to threaten human rights, and to exacerbate the climate crisis. This begs the question: How can we collectively and meaningfully shape the digital society we live in, and who is to decide on the agenda? 
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?  
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.
 

Speaker: Prof. Dr. Elena Esposito, Universität Bielefeld, DE

Institutions

  • UHH
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Wednesday, June 4th - 5th, 2025 | various times

The Digital Shift 4.0 - Hochschulverwaltungsdigitalisierung & OZG

virtuell

Die digitale Transformation administrativer Prozesse ist für moderne Organisationen unerlässlich, um den Erwartungen der Stakeholder gerecht zu werden und gesetzliche Vorgaben zu erfüllen. Dennoch stehen viele Hochschulen vor Herausforderungen wie föderalen Strukturen, Ressourcenmangel und rechtlichen Unsicherheiten. Diese Online-Konferenz zielt darauf ab, Best Practices auszutauschen und ausgewählte Fachthemen zu präsentieren. Zudem fördert sie die bundesweite Vernetzung der Hochschulen. Die Veranstaltung richtet sich insbesondere an Digitalisierungs- und OZG-Koordinator:innen sowie Mitarbeitende aus den Hochschulverwaltungen und ist kostenfrei. Bitte beachten Sie, dass die Anmeldung zur Onlinekonferenz auf eine begrenzte Teilnehmendenzahl beschränkt ist. Wir empfehlen Ihnen daher, sich zeitnah anzumelden. 

Programm

Institutions

  • ZKI-Geschäftsstelle c/o Freie Universität Berlin
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Monday, January 29th, 2024 | 18:00 p.m.

The Privacy Fallacy: Harm and Power in the Information Economy

University of Hamburg, Faculty of Law, Rothenbaumchaussee 33, Room A125

Professor Ignacio Cofone, McGill University

The Hamburg Network for Artificial Intelligence and Law (NAIL) invites you to its next event. We are pleased to welcome Professor Ignacio Cofone from McGill University in Montreal, Canada. He presents his latest book in which he demonstrates why our legal system is unable to adequately protect our privacy in the reality of new data-driven technologies such as AI. The lecture is followed by a subsequent discussion on the topic. The event will be held in English.

The event will take place in person at the University of Hamburg, Faculty of Law, Rothenbaumchaussee 33, Room A125. No registration is required for this.

There is also the option of participating online. Please sign up by emailing nail@ile-hamburg.de.

Institutions

  • Network for Artificial Intelligence and Law (NAIL)

 

People

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Dirk Hartung

Executive Director, CLTDS
dirk.hartung@law-school.de

Institutions

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Center for Legal Technology and Data Science, BLS

Research Center for Computational Legal Studies and Legal Technology at Bucerius Law School

Universität Hamburg
Adeline Scharfenberg
Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein. 

Universität Hamburg
Adeline Scharfenberg
Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein. 

Universität Hamburg
Adeline Scharfenberg
Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein.