law
Events
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)
Cyberkriminalität im Kontext generativer KI
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
KI-Verordnung – was nun? Herausforderungen des AI Acts für Hochschulen
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.)
NAIL Research Seminar #19: Game Over: Facing the AI Negotiator
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)
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. 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. 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. 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. 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
The Privacy Fallacy: Harm and Power in the Information Economy
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
Dirk Hartung
Institutions
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