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Towards Value-Centric Big Data:
Community Position Paper
Daniel Bachlechner, Fraunhofer
IFIP Summer School on Privacy and Identity Management
23 August 2019
Source:http://www.experian.com.cn/en/insights/big-data-and-chinas-social-credit-score
e-Sides Ethical and Societal Implications of Data Sciences 2
Key questions
What is e-SIDES
doing for value-
centric big data?
What’s the Community
Position Paper and
how does it help?
Who is the
community and how
can it contribute?
What do we already
have and what are
the next steps?
Who is the
community and how
can it contribute?
e-Sides Ethical and Societal Implications of Data Sciences 3
What is e-SIDES
doing for value-
centric big data?
What’s the Community
Position Paper and
how does it help?
What do we already
have and what are
the next steps?
Key questions
e-Sides Ethical and Societal Implications of Data Sciences 4
What is e-SIDES doing...
1) Identify ethical and societal issues
2) Identify existing technologies
3) Assess existing technologies
4) Conduct a gap analysis
5) Identify design requirements
6) Assess solutions under development
7) Identify implementation barriers
8) Make recommendations
What?
 Liaise with researchers, business
leaders, policy makers and civil
society through community
events
 Provide an Internet-based
meeting place for discussion,
learning and networking
 Provide an agreed-upon and
collective community position
paper and recommendations
How?
Why?
 Reach a common vision for an ethically sound approach to big data
and facilitate responsible research and innovation in the field
 Improve the dialogue between stakeholders and the confidence of
citizens towards big data technologies and data markets
5
Data-driven innovation that
at the same time
provides opportunities for
economic added value and
respects ethical and
societal values
Source:https://www.npd.com/wps/portal/npd/us/news/press-releases/2016/over-80-of-...
...for value-
centric big
data?
Who is the
community and how
can it contribute?
e-Sides Ethical and Societal Implications of Data Sciences 6
What is e-SIDES
doing for value-
centric big data?
What’s the Community
Position Paper and
how does it help?
What do we already
have and what are
the next steps?
Key questions
3) Challenges
1) Introduction
2) Stakeholders
4) Opportunities
7
What is the CPP...
A document on responsible
data-driven innovation
written by and for the big
data community
Structure
5) Conclusion
 Indicates where action is needed
 Documents good practices
 Provides a basis for decision
making
 Drives a lively debate
8
Source:https://www.k12insight.com/trusted/one-teacher-empowers-students-handshake
...and how
does it help?
e-Sides Ethical and Societal Implications of Data Sciences 9
What is e-SIDES
doing for value-
centric big data?
What’s the Community
Position Paper and
how does it help?
Who is the
community and how
can it contribute?
What do we already
have and what are
the next steps?
Key questions
10
Source:https://www.score.org/blog/how-conduct-%E2%80%9Csmart%E2%80%9D-meetings
Who is the
community...
Industry
Academia
Policy makers
Standardsbodies
Trade associations
Investors
Civil society
Data protection authorities
11
Source:https://leadg2.thecenterforsalesstrategy.com/book
...and how can
it contribute?
 Online by using a collaborative
platform provided by e-SIDES
 Offline by interacting with the
team within the scope of
community events
12
Contribute
now!
 Editors constantly integrate
suggestions into the paper
 The community is informed about
significant changes
 Anonymous suggestions
are possible
 To be named as contributor,
sign in with a Google Account
Who is the
community and how
can it contribute?
e-Sides Ethical and Societal Implications of Data Sciences 13
What is e-SIDES
doing for value-
centric big data?
What’s the Community
Position Paper and
how does it help?
What do we already
have and what are
the next steps?
Key questions
14
What do we already have...
Challenges Opportunities
3) Issues related to legal
compliance and ethics
1) Differences in attitudes
and contexts
2) Empowerment vs.
cognitive overload
4) Difficulties of conducting
assessments
3) Reference points of
accountability
1) Awareness raising and
transparency
2) Tools of accountability
4) Bodies and mechanisms
of oversight
15
What do we already have...
Challenges
3) Issues related to legal
compliance and ethics
1) Differences in attitudes
and contexts
2) Empowerment vs.
cognitive overload
4) Difficulties of conducting
assessments
 Extreme positions are taken
 Privacy protection is a standard
business practice
 Requirements are highly
context-specific
 Lack of expertise is not
uncommon
16
What do we already have...
Challenges
3) Issues related to legal
compliance and ethics
1) Differences in attitudes
and contexts
2) Empowerment vs.
cognitive overload
4) Difficulties of conducting
assessments
 Complexity and dynamics make
assessing implications difficult
 Getting people to exercise their
rights requires great effort
 Less involvement in data
management tasks preferred
17
What do we already have...
Challenges
3) Issues related to legal
compliance and ethics
1) Differences in attitudes
and contexts
2) Empowerment vs.
cognitive overload
4) Difficulties of conducting
assessments
 Law and ethics lag behind
technological developments
 Compliance leads to regional
differences
 Technologies have to be
embedded in organisational
processes and structures
 No consensus on what is ethical
18
What do we already have...
Challenges
3) Issues related to legal
compliance and ethics
1) Differences in attitudes
and contexts
2) Empowerment vs.
cognitive overload
4) Difficulties of conducting
assessments
 Unclear which questions to ask
 Assessment approaches do not
consider all relevant sources
 Lack of suitable bodies of
oversight
 Low demand for privacy-friendly
and ethical solutions
19
What do we already have...
Opportunities
3) Reference points of
accountability
1) Awareness raising and
transparency
2) Tools of accountability
4) Bodies and mechanisms
of oversight
 Involvement of users through
collaborative platforms
 Profit sharing through new
business models
 Cutting the middle man out
 Provision of education and
trainings
1) Awareness raising and
transparency
20
What do we already have...
Opportunities
3) Reference points of
accountability
2) Tools of accountability
4) Bodies and mechanisms
of oversight
 Validated ethical frameworks
 Sector-specific standards
covering ethical values
 Certifications for ethics
 Technology-embedded
measures to control data
 Ongoing risk assessments
21
What do we already have...
Opportunities
3) Reference points of
accountability
1) Awareness raising and
transparency
2) Tools of accountability
4) Bodies and mechanisms
of oversight
 Seizing the opportunities offered
by new and amended
legislation
 Court cases are necessary to
interpret new laws such as the
GDPR
 Ethical codes of conduct can be
revisited
22
What do we already have...
Opportunities
3) Reference points of
accountability
1) Awareness raising and
transparency
2) Tools of accountability
4) Bodies and mechanisms
of oversight
 Strong and independent bodies
of oversight are needed
 Ability to judge and power to
act based on judgement
 Systematic monitoring of ethics
 Need to be able to inspect data-
oriented products and services
 The organisation of further
community events is on the way
 A stable draft of the paper will
be ready in the end of September
 The final document will be
presented in mid-November
23
Source:https://www.marblespr.co.uk/news/walk-will-give-next-big-idea-legs-needs/attachment/...
...and what are
the next steps?
24
Source:https://epsrc.ukri.org/newsevents/events/pssatmeetingjul2015/
Upcoming
events
– FINAL CONFERENCE –
mid-November 2019, Brussels
Thank you!
@eSIDES_EU
#privacyinbigdata
eSIDES_EU
info@e-sides.eu
https://e-sides.eu/

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"Towards Value-centric Big Data: Community Position Paper" Daniel Bachlechner, e-SIDES @ IFIP Summer School on Privacy and Identity Management 2019

  • 1. Towards Value-Centric Big Data: Community Position Paper Daniel Bachlechner, Fraunhofer IFIP Summer School on Privacy and Identity Management 23 August 2019 Source:http://www.experian.com.cn/en/insights/big-data-and-chinas-social-credit-score
  • 2. e-Sides Ethical and Societal Implications of Data Sciences 2 Key questions What is e-SIDES doing for value- centric big data? What’s the Community Position Paper and how does it help? Who is the community and how can it contribute? What do we already have and what are the next steps?
  • 3. Who is the community and how can it contribute? e-Sides Ethical and Societal Implications of Data Sciences 3 What is e-SIDES doing for value- centric big data? What’s the Community Position Paper and how does it help? What do we already have and what are the next steps? Key questions
  • 4. e-Sides Ethical and Societal Implications of Data Sciences 4 What is e-SIDES doing... 1) Identify ethical and societal issues 2) Identify existing technologies 3) Assess existing technologies 4) Conduct a gap analysis 5) Identify design requirements 6) Assess solutions under development 7) Identify implementation barriers 8) Make recommendations What?  Liaise with researchers, business leaders, policy makers and civil society through community events  Provide an Internet-based meeting place for discussion, learning and networking  Provide an agreed-upon and collective community position paper and recommendations How? Why?  Reach a common vision for an ethically sound approach to big data and facilitate responsible research and innovation in the field  Improve the dialogue between stakeholders and the confidence of citizens towards big data technologies and data markets
  • 5. 5 Data-driven innovation that at the same time provides opportunities for economic added value and respects ethical and societal values Source:https://www.npd.com/wps/portal/npd/us/news/press-releases/2016/over-80-of-... ...for value- centric big data?
  • 6. Who is the community and how can it contribute? e-Sides Ethical and Societal Implications of Data Sciences 6 What is e-SIDES doing for value- centric big data? What’s the Community Position Paper and how does it help? What do we already have and what are the next steps? Key questions
  • 7. 3) Challenges 1) Introduction 2) Stakeholders 4) Opportunities 7 What is the CPP... A document on responsible data-driven innovation written by and for the big data community Structure 5) Conclusion
  • 8.  Indicates where action is needed  Documents good practices  Provides a basis for decision making  Drives a lively debate 8 Source:https://www.k12insight.com/trusted/one-teacher-empowers-students-handshake ...and how does it help?
  • 9. e-Sides Ethical and Societal Implications of Data Sciences 9 What is e-SIDES doing for value- centric big data? What’s the Community Position Paper and how does it help? Who is the community and how can it contribute? What do we already have and what are the next steps? Key questions
  • 10. 10 Source:https://www.score.org/blog/how-conduct-%E2%80%9Csmart%E2%80%9D-meetings Who is the community... Industry Academia Policy makers Standardsbodies Trade associations Investors Civil society Data protection authorities
  • 11. 11 Source:https://leadg2.thecenterforsalesstrategy.com/book ...and how can it contribute?  Online by using a collaborative platform provided by e-SIDES  Offline by interacting with the team within the scope of community events
  • 12. 12 Contribute now!  Editors constantly integrate suggestions into the paper  The community is informed about significant changes  Anonymous suggestions are possible  To be named as contributor, sign in with a Google Account
  • 13. Who is the community and how can it contribute? e-Sides Ethical and Societal Implications of Data Sciences 13 What is e-SIDES doing for value- centric big data? What’s the Community Position Paper and how does it help? What do we already have and what are the next steps? Key questions
  • 14. 14 What do we already have... Challenges Opportunities 3) Issues related to legal compliance and ethics 1) Differences in attitudes and contexts 2) Empowerment vs. cognitive overload 4) Difficulties of conducting assessments 3) Reference points of accountability 1) Awareness raising and transparency 2) Tools of accountability 4) Bodies and mechanisms of oversight
  • 15. 15 What do we already have... Challenges 3) Issues related to legal compliance and ethics 1) Differences in attitudes and contexts 2) Empowerment vs. cognitive overload 4) Difficulties of conducting assessments  Extreme positions are taken  Privacy protection is a standard business practice  Requirements are highly context-specific  Lack of expertise is not uncommon
  • 16. 16 What do we already have... Challenges 3) Issues related to legal compliance and ethics 1) Differences in attitudes and contexts 2) Empowerment vs. cognitive overload 4) Difficulties of conducting assessments  Complexity and dynamics make assessing implications difficult  Getting people to exercise their rights requires great effort  Less involvement in data management tasks preferred
  • 17. 17 What do we already have... Challenges 3) Issues related to legal compliance and ethics 1) Differences in attitudes and contexts 2) Empowerment vs. cognitive overload 4) Difficulties of conducting assessments  Law and ethics lag behind technological developments  Compliance leads to regional differences  Technologies have to be embedded in organisational processes and structures  No consensus on what is ethical
  • 18. 18 What do we already have... Challenges 3) Issues related to legal compliance and ethics 1) Differences in attitudes and contexts 2) Empowerment vs. cognitive overload 4) Difficulties of conducting assessments  Unclear which questions to ask  Assessment approaches do not consider all relevant sources  Lack of suitable bodies of oversight  Low demand for privacy-friendly and ethical solutions
  • 19. 19 What do we already have... Opportunities 3) Reference points of accountability 1) Awareness raising and transparency 2) Tools of accountability 4) Bodies and mechanisms of oversight  Involvement of users through collaborative platforms  Profit sharing through new business models  Cutting the middle man out  Provision of education and trainings
  • 20. 1) Awareness raising and transparency 20 What do we already have... Opportunities 3) Reference points of accountability 2) Tools of accountability 4) Bodies and mechanisms of oversight  Validated ethical frameworks  Sector-specific standards covering ethical values  Certifications for ethics  Technology-embedded measures to control data  Ongoing risk assessments
  • 21. 21 What do we already have... Opportunities 3) Reference points of accountability 1) Awareness raising and transparency 2) Tools of accountability 4) Bodies and mechanisms of oversight  Seizing the opportunities offered by new and amended legislation  Court cases are necessary to interpret new laws such as the GDPR  Ethical codes of conduct can be revisited
  • 22. 22 What do we already have... Opportunities 3) Reference points of accountability 1) Awareness raising and transparency 2) Tools of accountability 4) Bodies and mechanisms of oversight  Strong and independent bodies of oversight are needed  Ability to judge and power to act based on judgement  Systematic monitoring of ethics  Need to be able to inspect data- oriented products and services
  • 23.  The organisation of further community events is on the way  A stable draft of the paper will be ready in the end of September  The final document will be presented in mid-November 23 Source:https://www.marblespr.co.uk/news/walk-will-give-next-big-idea-legs-needs/attachment/... ...and what are the next steps?