GOT – AI Legal Challenges – by Machine Learning and Data Science (GBG)

The seminar will be held in Swedish.

AI väcker nya juridiska frågor. När kan personuppgifter behandlas med hjälp av maskininlärning? Vem äger resultatet som skapas och vad krävs för att använda detta? Vad har ni som utvecklare och bolag för ansvar för era produkter och dess konsekvenser? Vilka andra juridiska frågor är viktiga att tänka på vid användandet av maskininlärning? Advokatfirman Delphis experter ger dig en introduktion till vilka juridiska frågeställningar du behöver tänka på vid utveckling och användning av AI samt praktiska råd.

Föreläser gör Agnes Hammarstrand, Johan Engdahl och Anna Ersson.

Advokatfirman Delphi är en modern affärsjuridisk advokatbyrå med sann spetskompetens och djup affärsstrategisk förståelse. Hos oss arbetar specialister inom bland annat IT, AI, immaterialrätt och dataskydd.

Schema
18:00 – Välkomna för registrering samt kaffe/te och smörgås.
18:30–19:30 – Föreläsning med möjlighet att ställa frågor under tiden.
19:30 – Avslutande mingel för de som vill.

CPH – Tech & Law Breakfast: Drifting towards algorithmic content regulation – by University of Copenhagen

What happens if algorithms enforce rights? Is copyright destroying the Internet as we know it? Find out!

By Sebastian Schwemer

Today, we share huge amounts of – legal and illegal – content online. For the last two decades, online platforms have manually controlled the access to and spreading of information. With recent technological advancements in the field of “artificial intelligence” (or rather: machine learning algorithms), society is witnessing yet another transformation: algorithms, deployed by private actors, that enforce rules and rights on the Internet.

This development is endorsed by the European lawmaker, which has put forward automated content takedown measures most notably in the copyright-sphere, but also broadly in relation to all forms of illegal content with and terrorist content. Sebastian will cover these developments and argues that they are problematic, for reasons which will be explored at the Tech&Law breakfast.

Sebastian Schwemer is industrial postdoctoral researcher at the Centre for Information and Innovation Law (CIIR) and the Danish Internet Forum.

Programme

08:45 – 09:00 Doors open, coffee, tea, croissants etc.
09:00 Welcome
09:00 – 09:30 Research presentation
09:30 – 09:40 Q&A
09:45 End

Registration:

For participation in the lecture please use this registration form no later than 7 May 2019 , 24:00.

CPH – Legal Tech: Data Protection, AI and compliance by technical means – by GOTO Nights

GOTO Nights welcomes you to a meetup of Legal tech. We look forward to seeing you.

AGENDA
– 17:00 Doors open
– 17:20 Welcome by GOTO CPH
– 17:30 Talk 1 – GDPR, big data and AI + Privacy Policy Check AI tool, by Daniel Kiil
– 18:30 Food and Drinks
– 19:00 Talk 2 – Uniprocess, Developing applications that comply with the GDPR by technical means, by Ramón Soto Mathiesen
– 20:00 Networking
– 20:30 Thanks for today

DANIEL KIIL (SYNCH)

ABSTRACT: GDPR, big data and AI + Privacy Policy Check AI tool

When working with personal data, the GDPR sets the bar. Its requirements for a risk-based approach, privacy by design and the need for a legal basis for processing limits the scope for use of big data and AI. Further, its general principles about fairness, transparency, purpose limitation and data minimization narrow it even more, so does its stance towards profiling. So, what can you really do if you want to be compliant?

In his presentation, Daniel will highlight the most relevant GDPR provisions which may impact your next AI and/or big data project. He will also showcase Synch’s internally developed AI tool, the Privacy Policy Check.

BIO:

As an attorney, Daniel has mainly worked with IT, data protection and corporate/commercial law. After obtaining his law degree in 2009, he’s worked both as a practicing lawyer and an in-house counsel, inter alia for a large American IT company. He spends the most of his working hours dealing with IT contracts and privacy related issues.

**

RAMÓN SOTO MATHIESEN (SPISE MISU ApS)

ABSTRACT: Uniprocess, Developing applications that comply with the GDPR by technical means

The General Data Protection Regulation (GDPR) landed the 25th of May last year (2018). As a result of this, many companies have emerged providing services to help us comply with the GDPR.

What is obvious is that very few, if any, provide tools that will help us develop applications that comply with the regulation from a technical point of view. Law firms provide legal services, at a relatively high price as usual, while other consultancies, provide a lot of paperwork and words that, probably, will be “Gone with the Wind”.

This is the reason why the concept of “uniprocess” was researched. An “uniprocess” encapsulates a process, seen from a commercial point of view, where it is known at all times what data enter and leave the process. Being developed in “Haskell”, a functional programming language that has a clear separation between code that makes effects and the one that doesn’t, it is very easy to ensure these claims by using “granulation” and “restriction” of side-effects. Therefore, it is obvious to see that the development itself has to meet with the design of the process.

The concept is closely linked to stateless “microservices”, since the binaries are distributed with minimalistic “Docker” containers.

Finally, to facilitate the work of the Data Protection Agencies (DPAs) of the European Union, both “Haskell” binaries as well as “Docker” images/containers, will have a “Reproducible Build Hash” (RBH). With this RBH, you can mathematically show, that the software, which is currently executed, comes from the source code.

BIO:

Ramón Soto Mathiesen, is a passionate computer scientist, with talent for business, who advocates for: correctness, code quality and high standards, but always with the customer in focus.

He currently works at SPISE MISU ApS, a company founded by him, which is dedicated mainly to solve the problems arising from the application of the General Data Protection Regulation (GDPR) with a scientific approach (Computer Science and Mathematics).

STHLM – March RegTech Meetup in Stockholm – by Stockholm RegTech Meetup

It’s time for our next Meetup!

Following a great RegTech day at the Sthlm FinTech Week we will have a very interesting evening looking at RegTech and the underlying technologies that make it possible. Without AI, Blockchain, ML, NLP etc. RegTech would not be possible. But how are these technologies being used in RegTech products today and what will we see in the future?

We are fortunate enough to be hosted by EY this time and we will hear from Pehr Ambuhm, Partner at EY about their work in this field and we will have companies working with this today to tell their stories.

Doors will open at 17:00, presentations will kick off at 17:30 and around 18:30 we will have some snacks and drinks for our popular networking part. Doors will close at 20:30.