Law & Technology

General characterization

Prerequisites

Available soon

Bibliography

Andrew Murray, Law and the Information Society, Oxford UP, 4 th ed. 2019.

Mireille Hildebrandt, Smart Technologies and the End(s) of Law. Novel Entanglements of Law and Technology, EE Elgar, 2015.

Roger Brownsword, The Oxford Handbook of Law, Regulation and Technology, Oxford UP, 2017.

Marise Cremona, New Technologies and EU Law, Oxford UP, 2017.

Vanessa Mak et al. (eds), Research Handbook in Data Science and the Law, Edward Elgar 2018, 512 pp. Eric Hilgendorf and Jochen Feldle (eds.) Digitization and the Law, Nomos 2018.

Michèle Finck, Blockchain Regulation and Governance in Europe, Cambridge University Press 2018.

Commentary on the EU General Data Protection Regulation, Lee Bygrave e Christopher Docksey, Oxford University Press, 2019.

Martin Ebers, Marta Cantero Gamito, Algorithmic Governance and Governance of Algorithms, Springer, 2021.

Tim Wu, The Attention Economy, Knopf, 2016.

Thibault Schrepel, LAW + TECHNOLOGY, Stanford CodeX Working Paper, 2022.

Teaching method

Theoretical-practical lectures and seminars.

Evaluation method

During the course, you can perform several tasks that, if fully completed, lead to a grade that allows you not to take the final exam, if you want. You have the right to take the final exam, and then your final grade will be the highest between the grade of the continuous evaluation and the final exam.

The continuous evaluations is composed of a group assignment and an individual assignment.

• Group assignment and class participation (including online activities) counts 70%


• Multiple choice exam: 30% (date to be confirmed)

Students with exceptional in-class and online participation will receive up to 1 (one) extra point.

Rules on the group assignment

Groups are composed of 5-6 members.

The group has to:

1 choose a sci-fi story (movie, series, novel, etc)

2 instruct ChatGPT to discuss in 500 words on how the technology described there has had both positive and negative impacts on the society described in the story, paying particular attention to the ways in which the legal system has changed to adapt to this new technology and identifying the main legal issues of the application.

3 critically review the text written by ChatGPT

Give clear references to the story you are discussing so that we can check. Example: an underlying theme in Minority Report is the use of punishment based on the prediction of crimes that have yet to take place. This can be seen already at the beginning of the movie (minutes 5:14-9:37).

The submitted work is the one described under point 3, together with a link to the prompt and the text generated by ChatGPT. The report prepared by your team should NOT exceed 800 words per person. Please indicate the author of each section (bibliography excluded and footnotes included).

The grade is collective.

Two groups cannot choose the same story. Groups can be registered and story can be booked via a link that will be provided to you in due course.

The deadline is in December, date tbc.

The group assignments will have to be uploaded on Moodle by one group member only by the deadline and must include the names and student number of all the group members.

 

Rules on the participation

Active class participation can take several forms. At its core, it means to do the readings and come to class ready to engage in class- and group-discussions. An important and relatively new way to participate is using the forum available on Moodle.

Subject matter

1. Introduction and general topics

2. AI and Law: legal challenges

3. AI Act

4. AI & IP

5. Blockchain, Smart contracts

6. NFTs, metaverse and the future of Web3

7. Attention Economy, Internet of Behaviours, and the Law

8. LegalTech

Programs

Programs where the course is taught: