Data protection & AI technologies
When: 21.-22.11.2023
How: Remote training
Where: Zoom
Why: There is a challenging dilemma: the General Data Protection Regulation regulates all collection of personal data, but without good data, AI technologies cannot be trained. In this training you will master the principles and benefits of AI technologies and learn how to tackle the main data regulatory challenges.
This training has been very popular! Secure you spot now.
The training is held in english. .
How to make the relationship work?
As we know, Artificial Intelligence has the potential to solve complex problems. At the same time, it also includes many risks and challenges for fundamental rights, in particular data protection.
In the Data protection & AI technologies – training we will first dive into terminology, background and the main laws applicable to AI technologies. You will be introduced with the data sources needed for machine learning with a focus on personal data. Here, we will also discuss the research exceptions provided in the GDPR and Finnish law.
Further, we are going to cover data subject rights, including the right not to be subject to automated decision making and the right to an explanation of such decision making. The first day closes with a discussion of AI and law enforcement. During the current negotiations of the EU AI regulation, this is so far one of the most contested points.
The second day covers three topics: Discrimination, liability and accountability obligations. We will apply those topics in a longer case study doing a data protection impact assessment of a hypothetical technology.
Who is the training best suited for?
The training is suited for people working in strategy, data & compliance and data protection in various organizations. A basic knowledge of the GDPR is helpful, but not necessary – we are going to cover all relevant concepts.
LEARN
about a fast-developing area of law
KNOW
in which direction European legislation will develop
MANAGE
to influence the strategy of your organization in AI
FIND
tools on how to tackle the main challenges of data protection to AI.
Schedule
- What is AI? What is machine learning? Definition of (personal) data
- Development and main challenges of AI technologies
- Relevant legislation regarding AI technologies, in particular upcoming EU AI regulation
- Data sources, also rights to use personal/non-personal data
- Article 5 and in particular data quality
- Legal basis
Case study: AI in recruitment
- How to inform about AI?
- Data subjjec trights, with focus on automated decision making
- Case study: AI in employment
- The good, the bad and the ugly: how law enforcement can use AI technologies
- Current applicable law
- Policing with AI
- The dilemma: we want to discriminate
- Allowed and forbidden discrimination in AI and data protection
- Case study: the loan
- Liability: civil law, data protection and AI Regulation
- Ownership of data and what it means for developing AI technologies
- Case study: self-driving car
- Acccountability under the GDPR ;Article 30, DPO
- Privacy by Design
- Data Protection Impact Assessment, introduction to case study
- We will use a DPIA form that will be provided and work in groups
Trainer
Leading European expert on data protection
Tobias Bräutigam
As a leading European expert on data protection, Tobias’s practice offers detailed privacy advice on a range of matters including the development of new products and services, the review and negotiation of contracts, and the drafting of policies and review of campaigns. He also advises his clients on Finnish and international GDPR projects, including the implementation of global data management strategies, international data transfers and local data protection compliance.
Tobias has served on the European Advisory Board of the International Association of Privacy Professionals and co-chair the Cambridge Privacy Forum, a conference for senior privacy professionals. As a Docent of Information Law at two universities, he also contributes to privacy publications on data protection issues. Tobias is the first and still one of the few Finnish legal practitioners to have been accepted as a Fellow of Information Privacy (FIP) by the International Association of Privacy Professionals.
Attorney-at-law, the Finnish Bar Association 2016 (included on the EU Register)
Rechtsanwalt, German (Koblenz) Bar Association 2016

Leading European expert on data protection
Tobias Bräutigam
As a leading European expert on data protection, Tobias’s practice offers detailed privacy advice on a range of matters including the development of new products and services, the review and negotiation of contracts, and the drafting of policies and review of campaigns. He also advises his clients on Finnish and international GDPR projects, including the implementation of global data management strategies, international data transfers and local data protection compliance.
Tobias has served on the European Advisory Board of the International Association of Privacy Professionals and co-chair the Cambridge Privacy Forum, a conference for senior privacy professionals. As a Docent of Information Law at two universities, he also contributes to privacy publications on data protection issues. Tobias is the first and still one of the few Finnish legal practitioners to have been accepted as a Fellow of Information Privacy (FIP) by the International Association of Privacy Professionals.
Attorney-at-law, the Finnish Bar Association 2016 (included on the EU Register)
Rechtsanwalt, German (Koblenz) Bar Association 2016
Looking to update the entire teams skills?
We also offer popular group package deals. Wouldn’t it make sense to upgrade the skills of the whole team at the same time? We encourage you to participate in groups, as all groups of three or more are eligible for a group discount.
How to proceed? Email us at ryhmatarjous@upload.fi or call 040 655 1855 – our online store also automatically provides a discount when you add at least 3 tickets to your cart.
Version 2.0 of you is always guaranteed
– whether the training is carried out remotely via the internet, on-site, or as a hybrid.
The implementation method has been designed to be suitable for all forms of education, and interactivity has not been forgotten. The technically modern implementation and the expertise of the trainers ensure real-time and interactive communication between both the trainer and the participants – regardless of the mode of implementation of the training.
Do you have any questions regarding the implementation of the training? Click below for answers to frequently asked questions. 👇