Track | Sustainable and Future-proof Tech Mikko Eloholma Accelerator of Digital skills, TIEKE Mindtrek Conference 3rd of October 2023. Tampere, Finland www.mindtrek.org

1. Mikko Eloholma
Accelerator of Digital skills, Data Ethics Facilitator
TIEKE Finnish Information Society Development Centre
3.10.2023
Towards data responsibility - how to put ideals
into action

2. Our background
Open Data Institute’s Data Ethics Facilitator training (2022)
TIEKE’s first Data responsibility training in Spring 2023
5 participants from public and private organizations
The second training is ongoing
9 participants from public and private organizations
Third training will start in November. Registration:
https://tieke.fi/tapahtumat

3. Structure today
Our background with data responsibility
What is data responsibility? And why action is needed?
Case-examples
How to put ideals into action?

4. Data Economy
Digital Competences
Digital Finance Management
Digital Sustainability
TIEKE’s strategic
focus areas

5. What is data
responsibility
Why data responsibility?

6. ODI: What is Data Ethics?
A branch of ethics that evaluates data practices with the potential to adversely
impact people and society - in data collection, sharing and use.
- Open Data Institute
”
It’s important to minimize risks and “footprint” of utilizing data.
What would be the positive impact and handprint of data responsibility?

7. Source: Open Data Institute

8. Why data responsibility?
42% of respondents agree completely or partly with the statement that a lack of
trust in service providers prevents them from using digital services. The share
is highest in Germany (48%) and lowest in the Netherlands (38%).
- Sitra’s survey, 2019
”

9. ODI: Data Ethics Canvas
Data sources, rights and
legislation
Evaluating the purposes,
consequences and risks
Communication and
transparency.
Implementing data
responsibility, defining
internal processes.
Source: theodi.github.io/interactive-data-ethics-canvas/

10. Management
Responsibility
experts
Data protection
experts
Product and
service development
Data governance Data processing
Data responsibility: Who is involved?
Pictures: thispersondoesntexist.com
No one can guarantee
data responsibility alone.
How to discuss the
subject with shared
language?

11. Organization’s Data
responsibility –strategy
Identification of priorities, positive
footprint and key risks.
Processes and division of
responsibilities.
The operating framework provided by
legislation.
Implementing data responsibility on different levels

12. Organization’s Data
responsibility –strategy
Identification of priorities, positive
footprint and key risks.
Processes and division of
responsibilities.
The operating framework provided by
legislation.
Implementing data responsibility on different levels
Responsibility and ethics
of a product, service or
project
Evaluation and risk analysis of data
sources and consequences (targeted
and unanticipated).
Transparency for customers.
Ensuring legal compliance.

13. Organization’s Data
responsibility –strategy
Identification of priorities, positive
footprint and key risks.
Processes and division of
responsibilities.
The operating framework provided by
legislation.
Implementing data responsibility on different levels
Responsibility and ethics
of a product, service or
project
Evaluation and risk analysis of data
sources and consequences (targeted
and unanticipated).
Transparency for customers.
Ensuring legal compliance.
Responsibility from the
perspective of my
role in the organization
For example:
As a data engineer, how could I
categorize and label the data to
enhance its ethical use?

14. Case examples

15. Cambridge Analytica: Lack of privacy and transparency.
Cambridge Analytica harvested the data
of millions of Facebook users without
their consent, using it to inform targeted
political advertising.
- Business Insider, 6.10.2019
”
Kuvan lähde: BBC.com, 23.12.2022

16. Ofqual Controversy: Unethical algorithms and
lack of transparency
Last week, hundreds of students in UK gathered in
front of the Department for Education and chanted “f**k
the algorithm”. Within days, their protests prompted
officials to reverse course and throw out test scores
that an algorithm had generated for students who
never sat their exams due to the pandemic.
- LSE Impact blog, 26.8.2020
”
Kuvan lähde: Independet, 12.11.2020

17. ODI: Helping Barclays build trust through data ethics
At the start of every new piece of work, analysts
now work through the tool, documenting their
decisions and following any suggested actions. If
no adverse ethical findings are identified (and it’s
decided that the project can and should
continue), the completed Data Ethics Canvas is
then filed with other project documentation.
”
Lähde: https://theodi.org/article/helping-barclays-build-
trust-through-data-ethics/

18. How to put ideals
into action?

19. Tools, canvases,
frameworks

20. Tools, canvases,
frameworks…
• give discussions a structure.
• help to find common language
• help to define the problems and challenges
• help to make vague ideals less vague – start
putting ideals into action

21. Towards data responsibility - how to put ideals into action
1. Define the scope: what is your focus and why?

22. Towards data responsibility - how to put ideals into action
1. Define the scope: what is your focus and why?
2. Define the value propositon: what is the potential ethical challenge and benefit?

23. Towards data responsibility - how to put ideals into action
1. Define the scope: what is your focus and why?
2. Define the value propositon: what is the potential ethical challenge and benefit?
3. Define your starting point: what has been done already?

24. Towards data responsibility - how to put ideals into action
1. Define the scope: what is your focus and why?
2. Define the value propositon: what is the potential ethical challenge and benefit?
3. Define your starting point: what has been done already?
4. Check the Internal transparency: Do we really understand how we handle data? Are we
internally transparent?

25. Towards data responsibility - how to put ideals into action
1. Define the scope: what is your focus and why?
2. Define the value propositon: what is the potential ethical challenge and benefit?
3. Define your starting point: what has been done already?
4. Check the Internal transparency: Do we really understand how we handle data? Are we
internally transparent?
5.-8. Go through the elements
of an established framework,
e.g. Data Ethics Canvas
Data sources, rights and legislation
Evaluating the purposes, consequences and risks
Communication and transparency.
Implementing data responsibility, defining internal
processes

26. TIEKE’s next data responsibility training
Registration: https://tieke.fi/tapahtumat
28.11., 13 - 16.00
Aloitustapaaminen: Data, lainsäädäntö ja vastuullisuus
13.12. klo 13 - 15
Datan käsittelyn läpinäkyvyys ja ymmärrettävyys
Functos: Tietotilinpäätös, arvonluonti ja datavastuullisuus
13.12. - 16.01.
Osallistujakohtainen tapaaminen (1h)
16.01. klo 13 - 15
Datan hyödyntämisen mahdollisuudet ja riskit
30.01 klo 13 - 16.00
Lopputapaaminen: Miten jalkauttaa opittua?

27. Thank you!
Mikko Eloholma
mikko.eloholma@tieke.fi
Puh. +358 44 491 8296