The following presentation was given by Tjerk Timan, Policy Ananlyst from TNO and BDVA, during the e-SIDES workshop "Towards Value-Centric Big Data" held on April 2, 2019 in Brussels.
2. Data Single Market - regulatory challenges
Data
Processing data Applying data-driven innovations
personal non-personal AI and ML, cloud computing
data
protection
for EU citizens
free flow of data
and geo-blocking
IP and copyright,
data-, and AI marketplaces,
cybersecurity & access
novel business propositions,
value creation, lean policy
algorithmic transparency,
inclusiveness
for the BDVA - support via ‘how to’s’ and best practices (if any)
on most pressing topics (GDRP implementation for startups for example)
BDVe context
10. Self-Sovereign Identity
What does it do? Turns data control back to user
What does it solve? Power balance and lack of data control
New Problem? Cognitive load - assumption that control is
positive
11. Multi-Party Computation
What does it do? makes
possible to analyse big data
without seeing it
What does it solve?
Anonimisation and data
sharing - third party problem
New Problem? Performance -
only works on aggregatate
level
12. Explainaible AI
What does it do? Explains decisions made by ML
What does it solve? Inherent intransparencey of DL/ML
New Problem? Recursiveness: How transparent are XAI
outcomes?