D a t a E thic s D ecisio n A - Faculty of Humanities...2017/08/21 · han ben e fi t s o f t his p...
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9 Can this visualization be interpreted in G E N E R A L C O N S I D E R A T I O N S START This poster is supported by the DEDA manual. The function of the manual is to provide additional background information. Please decide who in the team will fill in the report. Run through the questions and answer them with post-its. For each question that cannot be answered right away, you will find an action point in the report, which indicates further steps. STEP ONE STEP TWO Project name, date, place - Taking a decision Taking the previous questions into account, make a decision about the continuation of the project. What are the possible benefits and problems? Appoint a member of the team to be the devil’s advocate in this deliberation. The questions and concepts below can help him/her. • Freedom of choice • Freedom of speech • Mutual respect • Trust • Diversity • Creativity • Peace and a good life STEP THREE Participants What is the project about? What kind of data do you use? What are the benefits of this project? Might there be any problems with your project? What would a person you want to be do in this situation? Does the project meet the standards of good governance and responsibility? Which outcome is the best for the majority of involved subjects, the city and it’s residents? Does your approach respect the autonomy of all subjects who are involved? What are problems particular to this project? How can we make sure that the following values are respected? - D E D A ata thics ecision id 36 32 30 28 26 22 20 16 14 12 Concept and development: Mirko Tobias Schäfer, Ph.D. Aline Franzke, MA Design: Redmar Fransen The Data Ethics Decision Aid and this poster are developed by the Utrecht Data School and the University of Utrecht. © Utrecht Data School, Utrecht University 2017 DEDA version 1.0, released March 2017, check for updates: www.dataschool.nl/deda Neither the Utrecht Dataschool, nor the University of Utrecht are liable for (possible) damage in connection with, or arising from, the use of material or content of DEDA. Utrecht, 2017. DEDA version 1.0. While DEDA is used we learn how to improve it. Those changes will be implemented in future versions. If you have used DEDA and you think it can be approved, please feel free to share your thought with us. Send an e-mail to: [email protected] - We appreciate your feedback. [email protected] p.50 40 (virtue ethics) (utilitarianism) (moral particularism) (Kantianism) ALGORITHMS ANONYMIZATION SOURCE ACCESS 1b Can you communicate how the algorithm works? 1a Is there someone in the team who can explain how the algorithm in use works? 10b How is the access monitored? 11b What are the possibilities of reuse? PRIVACY INFORMED CONSENT 17a In case something goes wrong, are there any communication strategies? 18a How transparent can you be with the public about your project? 22b BIAS 23a What outcomes are you expecting personally? 24b Do you have a gut feeling about this project? 25a Is the sample a truthful representation of the population? 27b Can you imagine a future scenario in which your current decision might matter? 27a Does your decision change if you think about long 17b Who is responsible for preparing those strategies? 18b Is there a danger of public outrage? 26 Are you gathering the right information for your goal? 24a Do you have a vague feeling about this project? 23b What do other team members or colleagues expect? 25b Who is missing or invisible in your dataset? 2 Where do the data(sets) come from? 4 Is there a ‘best before’ date for this specific dataset? 3 Have you checked the quality of the data(sets)? 5 Are the data anonymized or pseudonymized? 6a Have you tested the anonymization? 6b Who is in possession of the encryption key? N O I T A Z I L A U S I V e l b a t i u s s t l u s e r d e c u d o r p e h t r o a t a d e h t e r A 7 ? n o i t a z i l a u s i v r o f 18 S T O R A G E U S A G E C O L L E C T I O N D A T A R E L A T E D C O N S I D E R A T I O N S 10a Who has access to the dataset? OPEN ACCESS & REUSE OF THE DATASET 11a Are (parts of) the data suitable for reuse? If so, under which conditions could they be reused? 12 What dangers do you see with reusing data? RESPONSIBILITY 13 Which laws and regulations apply to your project? 14a Can you name a person responsible for handling 14b Who is responsible if something goes wrong? 15 Is there a danger that particular people or groups could be discriminated against by your project? 16 Would there be any suitable (commercial) partners for your project? TRANSPARENCY/ ACCOUNTABILITY 19 Are sensitive data actively used in your project? (If ‘NO’, go to question 23) l a n o s r e p e h t o t n i s t h g i s n i w o l l a t e s a t a d e h t s e o D 1 2 ? s n e z i t i c f o n o i t a c i n u m m o c e r e h p s e t a v i r p e h t o t n i s t h g i s n i e v a h u o y o D 0 2 of citizens? 22a Have you checked the PIA (Privacy Impact Assessment?) 28 How do you inform people that the data are used? 29 Do citizens have a choice to opt out? a different (misleading) way? the data ethically? 8 In what way could the data be visualized?
Transcript of D a t a E thic s D ecisio n A - Faculty of Humanities...2017/08/21 · han ben e fi t s o f t his p...
9 Ca
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d in
G E N E R A L C O N S I D E R A T I O N S
S T A R T
This poster is supported by the DEDA manual. The function of the manual is to provide additional background information. Please decide who in the team will fill in the report.
Run through the questions and answer them with post-its.For each question that cannot be answered right away, you will findan action point in the report, which indicates further steps.
STEP ONE
STEP TWO
Project name, date, place
-
Taking a decision
Taking the previous questions into account, make a decision about thecontinuation of the project. What are the possible benefits and problems?Appoint a member of the team to be the devil’s advocate in this deliberation. The questions and concepts below can help him/her.
• Freedom of choice • Freedom of speech • Mutual respect • Trust • Diversity • Creativity • Peace and a good life
STEP THREE
Participants
What is the project about?
What kind of data do you use?
What are the benefits of this project?
Might there be any problems with your project?
What would a person you want to be do in this situation?
Does the project meet the standards of good governance and responsibility?
Which outcome is the best for the majority of involved subjects, the city and it’s residents?
Does your approach respect the autonomy of all subjects who are involved?
What are problems particular to this project?
How can we make sure that the followingvalues are respected?
-
DEDA
a t a
t h i c s
e c i s i o n
i d
3 6
32
30
28
26
22
20
1 6
1 4
1 2
Concept and development:Mirko Tobias Schäfer, Ph.D.Aline Franzke, MA
Design:Redmar Fransen
The Data Ethics Decision Aid and this poster are developed by the Utrecht Data School and the University of Utrecht. © Utrecht Data School, Utrecht University 2017
DEDA version 1.0, released March 2017, check for updates:
www.dataschool.nl/deda
Neither the Utrecht Dataschool, nor the University of Utrecht are liable for (possible) damage in connection with, or arising from,the use of material or content of DEDA.
Utrecht, 2017.
DEDA version 1.0. While DEDA is used we learn how to improve it. Those changes will be implemented in future versions. If you have used DEDA and you think it can be approved, please feel free to share your thought with us. Send an e-mail to: [email protected] - We appreciate your feedback.
p . 5 0
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( v i r t u e e t h i c s )
( u t i l i t a r i a n i s m )
( m o r a l p a r t i c u l a r i s m )
( K a n t i a n i s m )
A LG O R I T H M S
ANO
NYM
IZAT IO
N
S O U R C E
AC
CE
SS
1b Can you communicate
how the algorith
m works?
1a Is there someone in
the team who can explain how the
algorithm in
use works?
10b
How
is th
e ac
cess
mon
itor
ed?
11b What a
re th
e possib
ilitie
s of reuse?
PR
IVA
CY
I N F O R M E D CO N S E N T
17a In case something goes wrong, are there any
communication strategies?
18a How transparent can you be w
ith the public about your project?
22b
BIA
S23a W
hat outcomes are you expecting personally?
24b Do you have a gut feeling about this project?
25a Is the sample a truthful representation of the population?
27b Can you imagine a future scenario in which your
current decision might matter?
27a Does your decision change if you think about long
17b Who is responsible for preparing those strategies?
18b Is there a danger of public outrage?
26 Are you gathering the right information for your goal?
24a Do you have a vague feeling about this project?
23b What do other team members or colleagues expect?
25b Who is missing or invisible in your dataset?
2 Where
do the data
(sets) come fr
om?
4 Is th
ere a ‘b
est befo
re’ d
ate fo
r this specifi
c dataset?
3 Have you checked th
e quality of t
he data(sets
)?
5 Are
the
data
anon
ymiz
ed o
r pse
udon
ymiz
ed?
6a
Hav
e yo
u te
sted
the
anon
ymiz
atio
n?
6b
Who
is in
pos
sess
ion
of t
he e
ncry
ptio
n ke
y?
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TA
ZIL
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SIV
elbatius stluser decudorp eht ro atad eht erA 7
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18
ST
OR
A G E U S A G E
C
OL
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IO
N
D A T A R E L A T E D C O N S I D E R A T I O N S
10a
Who
has
acc
ess
to th
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tase
t?
OP
EN A
CCESS & R
EUSE
OF T
HE D
ATASET 11a A
re (p
arts o
f) th
e data
suita
ble fo
r reuse
?
If
so, u
nder whic
h conditi
ons could
they b
e reuse
d?
12 What d
angers do you see with
reusin
g data?
RESPONSIBILITY
13 Which laws and regulations apply to your project?
14a Can you name a person responsible for handling
14b Who is responsible if something goes wrong?
15 Is there a danger that particular people or groups
could be discriminated against by your project? 16 Would there be any suitable (commercial)
partners for your project?
TRANSPAREN
CY/
ACCOU
NTABILITY
19 A
re sensitive d
ata actively used in
your project?
(If ‘N
O’, g
o to question
23)
lan
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t ot
ni st
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ni wo
lla
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12 ?
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etav
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i sni
evah
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oD
02
of citizens?
22a H
ave you checked the PIA (Privacy Impact Assessm
ent?)
28 How do you in
form people that the
data are used?
29 Do ci
tizens h
ave a ch
oice to
opt o
ut?
a di
ffere
nt (m
isle
adin
g) w
ay?
the data ethically?
8 In
wha
t w
ay c
ould
the
dat
a b
e vi
sual
ized
?
