law

Events

images/02_events/image003.jpg#joomlaImage://local-images/02_events/image003.jpg?width=800&height=300
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)

 

images/02_events/TM%20Vorlessung%20Alle.jpg#joomlaImage://local-images/02_events/TM Vorlessung Alle.jpg?width=800&height=300
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
images/02_events/TM%20Vorlessung%20Alle.jpg#joomlaImage://local-images/02_events/TM Vorlessung Alle.jpg?width=800&height=300
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
images/02_events/image003.jpg#joomlaImage://local-images/02_events/image003.jpg?width=800&height=300
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

images/03_personen/dirk_hartung.jpg#joomlaImage://local-images/03_personen/dirk_hartung.jpg?width=500&height=500

Dirk Hartung

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

Institutions

images/04_Institute/bls_logo.jpg#joomlaImage://local-images/04_Institute/bls_logo.jpg?width=500&height=500

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.