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@aureliepols For	Berlin	Buzzword	©	Competing	on	Privacy	
Technical	consequences	of	
data	subjects’	rights
Aurélie	Pols	– Berlin	June	12th 2018
1
@aureliepols For	Berlin	Buzzword	©	Competing	on	Privacy	 2
@aureliepols For	Berlin	Buzzword	©	Competing	on	Privacy	 3
@aureliepols For	Berlin	Buzzword	©	Competing	on	Privacy	
Data	Governance	&	Privacy	Engineer
Data	is	the	New	Electricity	– Privacy	is	the	New	Green	– Trust	is	the	New	Currency
Dutch	nationality,	French	mother	tongue,	works	in	English,	lives	in	Spain
AURELIE	POLS,	
DATA	GOVERNANCE	
&	PRIVACY	ENGINEER
•DPO	for	mParticle	(Customer	Data	platform)	– contractor	(USA,	New	York)
•Chief	Visionary	Officer	– Competing	on	Privacy
•Professor	of	Ethics	&	Privacy	in	Big	Data	&	Business	Analytics	Master	– Instituto	de	Empresa	(IE),	Madrid	(ES);	
guest	professor	DPO	certification	courses	Maastricht	University,	faculty	of	law	(NL)	&	Solvay	Business	School	Brussels	(B)
•Board	Member	European	Center	On	Privacy	and	Security,	Maastricht	University	(NL)
•Ethics	Advisory	Group	(EAG)	– European	Data	Protection	Supervisor	(EDPS)	Towards	a	digital	ethics
•Former	Vice-chair	P7002	– Data	Privacy	Process	– IEEE
•Speaker/writer/consiglieri:	Mobile	World	Congress,	SWSX,	Strata	(+	Hadoop	World),	IAPP,	Piwik,	AT	Internet,	industry	
associations,	AdTech	&	MarTech	vendors,	…
2003:	
OX2	Co-founder
Webanalytics.be
2008:	
Sold	to	Digitas	LBi	
(Publicis)
4
@aureliepols For	Berlin	Buzzword	©	Competing	on	Privacy	
Which	problem?
@aureliepols For	Berlin	Buzzword	©	Competing	on	Privacy	
Do	values	influence	the	problems	
we	choose	to	solve?
Or	the	society	we	live	in,	it’s	history…	
6
@aureliepols For	Berlin	Buzzword	©	Competing	on	Privacy	
The	questions	we	are	faced	today
• Economic	growth?
• What	is	happiness?
• Externalities	to	economic	
growth	like	pollution
• What	is	the	future	of	work?
• Are	incentives	aligned	to	assure	
“human	flourishing”	and	inter-
generational	solidarity?
• The	rule	of	law	is	like	La	Sagrada
Familia:	eternally	under	
construction	
7
@aureliepols For	Berlin	Buzzword	©	Competing	on	Privacy	 8
Copyright	Tim	Clements
@aureliepols For	Berlin	Buzzword	©	Competing	on	Privacy	
We	are	Data	
Subjects	as
• Parents,	Caretakers,
• Consumers,	Customers,
• Citizens,	
• Business	Partners,	Employees,
• Men	and	women,
• Young	and	old,	
• ….
9
@aureliepols For	Berlin	Buzzword	©	Competing	on	Privacy	
Economic	development	&	human	rights
Digital	Single	
Market	
(DSM)
Charter	of	
Fundamental	
Rights	of	the	
EURoaming
Geo-fencing/
copyright
GDPR
ePrivacy
NIS
Interoperability PS2
10
@aureliepols For	Berlin	Buzzword	©	Competing	on	Privacy	
Autonomy,	beyond	Dignity
11
Charter	of	Fundamental	Rights	of	the	European	Union
Article	1:	“Human	dignity	is	inviolable.	It	must	be	respected	and	protected”.
Charter	articles Charter	text
GDPR Art.	8:	Protection	
of	personal	data
1. Everyone	has	the	right	to	the	protection	of	
personal	data	concerning	him	or	her.
2. Such	data	must	be	processed	fairly	for	
specified	purposes	and	on	the	basis	of	the	
consent	of	the	person	concerned	or	some	
other	legitimate	basis	laid	down	by	law.	
Everyone	has	the	right	of	access	to	data	which	
has	been	collected	concerning	him	or	her,	and	
the	right	to	have	it	rectified.
3. Compliance	with	these	rules	shall	be	
subject	to	control	by	an	independent	
authority.
ePrivacy Art.	7: Respect	
for	private	and	
family	life
Everyone	has	the	right	to	respect	for	his	or	her	
private	and	family	life,	home	and	
communications.
@aureliepols For	Berlin	Buzzword	©	Competing	on	Privacy	
“GDPR	is	an	obstacle	for	technology-driven	companies”	
YES
• GDPR	goes	against	key	characteristics	of	
big	data,	AI,	block	chain,	etc.
• Compliance	projects	are	costly	&	may	
constitute	hindrance	for	technological	
progress
• Companies	consider	that	a	lack	of	
knowledge	on	how	to	cost-efficiently	turn	
collected	data	into	business	accelerating	
assets	
while	complying	with	the	GDPR
=	one	of	the	biggest	obstacles	to	the	full	
exploitation	of	big	data	technologies
• Significant	administrative	burden	
regarding	principle	of	accountability
NO
• One	of	the	main	goals	of	the	GDPR	is	to	
enable	a	more	functional	and	harmonized	
information	economy	within	the	EU
• Compliance	might	benefit	companies’	
information	management	and	create	new	
business	opportunities
• Enhancing	privacy	means	enhancing	
business	operations	in	a	profound	way
• Compliance	with	the	new	requirements	
may	be	turned	into	a	commercial	benefit
• New	technology	market	providing	tools	&	
products	for	GDPR	compliance	and	
progress	validation
• Technology	as	an	“enabler”,	recital	6
Source:	borrowed	from	Stibbe,	CPCP	2018
12
@aureliepols For	Berlin	Buzzword	©	Competing	on	Privacy	
Technology	has	transformed	both	the	economy	and	
social	life,	and	should	further	facilitate	the	free	flow	of	
personal	data	within	the	Union	and	the	transfer	to	third	
countries	and	international	organisations,	while	
ensuring	a	high	level	of	the	protection	of	personal	data.
General	Data	Protection	Regulation,	recital	6
13
@aureliepols For	Berlin	Buzzword	©	Competing	on	Privacy	 14
https://corporateeurop
e.org/sites/default/files
/unfairbnb.pdf
@aureliepols For	Berlin	Buzzword	©	Competing	on	Privacy	
The	EU	vs.	the	US
The	EU	has	created	a	privacy	culture	around	“rights	talk”	that	protects	
its	“data	subjects”.	In	the	EU	moreover,	rights	talk	forms	a	critical	part	
of	the	postwar	European	project	of	creating	the	identity	of	the	
European	citizen.
In	the	United	States	in	contrast,	the	focus	is	on	a	“marketplace	
discourse”	about	personal	information	and	the	safeguarding	of	
“privacy	consumers”.	In	the	United	States,	data	privacy	law	focuses	on	
protecting	consumers	in	a	data	marketplace.
Transatlantic	Data	Privacy	Law,	Paul	M.	Schwartz	&	Karl-Nikolaus Peifer
15
@aureliepols For	Berlin	Buzzword	©	Competing	on	Privacy	 16
@aureliepols For	Berlin	Buzzword	©	Competing	on	Privacy	 17
@aureliepols For	Berlin	Buzzword	©	Competing	on	Privacy	
Reintroducing	people	into	Data	Privacy	
18
PEOPLE
Have	rights
GOVERNMENTS
Laws	to	
protect	citizens
COMPANIES
Processing	citizens	data INDUSTRY	
ORGANIZATIONS
Guidelines*	to	
protect	compliance
Data	Quality
Ad	Blocking
Class	Actions?
C o m p l i a n c e
Self-Regulation
@aureliepols For	Berlin	Buzzword	©	Competing	on	Privacy	
The	GDPR	didn’t	happen	in	a	vacuum	
1. Legislation	and	it’s	inherent	risk	=	an	excuse	to	do	the	right	thing
4%	of	global	turn-over	or	20	million	€,	which	ever	is	higher!
2. Complexification	of	systems
3. Non	linearity	=>	this	is	just	the	beginning!	(IoT)
19
@aureliepols For	Berlin	Buzzword	©	Competing	on	Privacy	 20
@aureliepols For	Berlin	Buzzword	©	Competing	on	Privacy	 21
@aureliepols For	Berlin	Buzzword	©	Competing	on	Privacy	
People	getting	more	savvy!	
22
Source:	https://medium.com/personaldata-io/quick-guide-to-asking-cambridge-
analytica-for-your-data-52f9e74bd059#.ghtkcau56/
Wondering	about	SARs?	Visit	http://www.personaldata.io/
@aureliepols For	Berlin	Buzzword	©	Competing	on	Privacy	
Let’s	talk	about	the	law
Now	that	we	shared	the	basis	for	the	rule	of	law
23
@aureliepols For	Berlin	Buzzword	©	Competing	on	Privacy	
I	am	a	Data	Subject
(Bits	of	Me)
The	GDPR	is	
1.	a	base	line	for	compliance,	
2.	re-introducing	
the	Data	Subject	into	the	data	
ecosystem’s	equation	(not	
new!)
3.	where	each	actor	is	
accountable
24
@aureliepols For	Berlin	Buzzword	©	Competing	on	Privacy	 25
@aureliepols For	Berlin	Buzzword	©	Competing	on	Privacy	
Obligations under the GDPR data ecosystem
26
Source:	https://www.rizikon.oi/gdpr-compliance
Appointing a DPO –
Data Protection
Officer – or not?
Described in
section 4 of the
GDPR, art. 37:
Designation of a
data protection
officer.
Following articles
talk of position and
tasks.
The choice remains
to appoint one
even if not directly
required: moving
beyond
compliance!
@aureliepols For	Berlin	Buzzword	©	Competing	on	Privacy	
Data	Subjects	Rights	
• Article	15:	Right	of	access	by	the	data	subject
• Article	16:	Right	to	rectification
• Article	17:	Right	to	erasure	(“right	to	be	forgotten”)
• Article	18:	Right	to	restriction	of	processing
• Article	20:	Right	to	data	portability
• Article	21:	Right	to	object
• Article	22:	automated	individual	decision-making,	including	profiling
27
Article	19:	Notification	
obligation	regarding	
rectification	or	erasure	
of	personal	data	or	
restriction	of	
processing
@aureliepols For	Berlin	Buzzword	©	Competing	on	Privacy	
Articles	16	&	17:	Rectification	&	deletion
28
General	Data	Protection	
Regulation	
(GPDR)	- May	25	2018
Which	variables	or	combination	exactly?	
Hashing	&	encryption	(by	default):	not	enough!
Processor Controller
@aureliepols For	Berlin	Buzzword	©	Competing	on	Privacy	
The	inevitable	
question!	
(≠	PII!)
Personal	data	
in	the	GDPR	
(article	4.1)
‘personal	data’:
any	information	relating	to	an	identified or	identifiable	
natural	person (‘Data	Subject’);	
an	identifiable	natural	person	is	one	who	can	be	
identified,	directly	or	indirectly,	in	particular	by	
reference	to	an	identifier	such	as	a	name,	an	
identification	number,	location	data,	an	online	
identifier	
or	to	one	or	more	factors	specific	to	the	physical,	
physiological,	genetic,	mental,	economic,	cultural	or	
social	identity	of	that	natural	person;
29
@aureliepols For	Berlin	Buzzword	©	Competing	on	Privacy	
Article	15:	Data	Subject	Access	Requests
30
Source:	DataGuidance	GDPR	Essentials:	Data	Subject	Rights
@aureliepols For	Berlin	Buzzword	©	Competing	on	Privacy	
Take	note	of
• Article	12.4	to	develop	communication	around	your	stance:
“if	the	controller	does	not	take	action	on	the	request	of	the	data	subject,	the	
controller	shall	inform	the	data	subject	without	delay	and	at	the	latest	within	
one	month	of	receipt	of	the	request	of	the	reasons	for	not	taking	action	and	
on	the	possibility	of	lodging	a	complaint	with	the	supervisory	authority	and	
seeking	judicial	remedy”.
• Recital	63
• Article	15.4,	which	shows	it’s	about	
1. The	right	to	obtain	certain	information	on	the	activities	a	company	
performs
2. The	right	to	obtain	a	copy	of	the	data	undergoing	processing	
31
@aureliepols For	Berlin	Buzzword	©	Competing	on	Privacy	
Practical	steps	for	SARs:
32
Source:	DataGuidance	GDPR	Essentials:	Data	Subject	Rights
@aureliepols For	Berlin	Buzzword	©	Competing	on	Privacy	
Article	16:	Right	to	Rectification
33
See	also	recital	
65	which	
provides	
examples	and	
links	rectification	
to	erasure
Source:	DataGuidance	GDPR	Essentials:	Data	Subject	Rights
@aureliepols For	Berlin	Buzzword	©	Competing	on	Privacy	
The	right	to	erasure	(article	17)
It	typically	requires	a	balancing	test	as	it’s	not	an	absolute	right
Example:	employee	data	needed	for	compliance	&/or	establishment,	
exercise	or	defense	of	legal	claims	=>	keep	the	data	&	tell	data	subject	
why	her	data	is	not	deleted
Can	apply	if:
• Data	is	no	longer	necessary
• No	more	legal	basis	for	processing:	consent	is	withdrawn,	legitimate	interests	
not	accepted,	objection	to	direct	marketing
34
@aureliepols For	Berlin	Buzzword	©	Competing	on	Privacy	
Depend	upon
• Recognition	of	compliance	obligation
• Linkability	of	data,	even	pseudonymized,	and	possibility	to	decouple
• Available	options:	typically	deletion	probable	(Adobe)
Article	18:	Restriction	of	processing.	When?
• Data	accuracy
• Unlawful	processing,	typically	6.1(f)	legitimate	interests
• Internal	process	flow!
35
@aureliepols For	Berlin	Buzzword	©	Competing	on	Privacy	
Note	that
• Erasure	applies	to	all	systems:	includes	back-ups,	copies	leans	&	
extends	to	3rd parties!
• Applicable	when	individuals	have	removed	their	consent	for	
processing	activities	based	on	consent	(no	other	legal	ground)	or	
have	objected	to	processing	based	on	legitimate	interests	or	they	
have	objected	to	direct	marketing	activities
• Refusal	for	deletion	doesn’t	mean	access	should	not	be	granted!
• Automated	deletion?	Unlikely!
36
@aureliepols For	Berlin	Buzzword	©	Competing	on	Privacy	
Erasure	is	a	similar	process	to	SARs
37
Source:	DataGuidance	GDPR	Essentials:	Data	Subject	Rights
@aureliepols For	Berlin	Buzzword	©	Competing	on	Privacy	
Art.	18:	Restriction	of	processing
38
Source:	DataGuidance	GDPR	Essentials:	Data	Subject	Rights
@aureliepols For	Berlin	Buzzword	©	Competing	on	Privacy	
Article	20:	Data	Portability
39
Source:	DataGuidance	GDPR	Essentials:	Data	Subject	Rights
@aureliepols For	Berlin	Buzzword	©	Competing	on	Privacy	
The	coming	of	age	of	Transparency	Wars?
40
@aureliepols For	Berlin	Buzzword	©	Competing	on	Privacy	
Art.	22	:	The	right	not	to	be	subject	to	a	decision	based	solely	
on	automated	processing,	including	profiling
1. The	data	subject	shall	have	the	right	not	to	be	subject	to	a	decision	
based	solely	on	automated	processing,	including	profiling,	which	
produces	legal	effects	concerning	him	or	her	or	similarly	
significantly	affects	him	or	her.
2. Paragraph	shall	not	apply	if:
a) It	is	necessary for	entering	into,	or	performance	of,	
a	contract	between	the	data	subject	and	a	data	
controller;
b) …	Authorised by	Member	state	Law…
c) It	is	based	on	the	data	subject's	explicit	consent.
41
@aureliepols For	Berlin	Buzzword	©	Competing	on	Privacy	
3. In	the	cases	referred	to	in	points	(a)	and	(c)	of	paragraph 2,	the	data	
controller	shall	implement	suitable	measures	to	safeguard	the	data	subject's	
rights	and	freedoms	and	legitimate	interests,	at	least	the	right	to	obtain	
human	intervention	on	the	part	of	the	controller,	to	express	his	or	her	point	of	
view	and	to	contest	the	decision.
4. Decisions	referred	to	in	paragraph	2	shall	not	be	based	on	special	
categories	of	personal	data	referred	to	in	Article 9(1),	unless	point	(a)	or	(g)	of	
Article	9(2)	applies	and	suitable	measures	to	safeguard	the	data	subject's	
rights	and	freedoms	and	legitimate	interests	are	in	place.
Where	9	(1):Special	categories	of	personal	data	also	called	sensitive	data:	
racial	or	ethnic	origin,	political	opinions,	religious	or	philosophical	beliefs,	or	
trade	union	membership,	and	the	processing	of	genetic	data,	biometric	data	
for	the	purpose	of	uniquely	identifying	a	natural	person,	data	concerning	
health	or	data	concerning	a	natural	person's	sex	life	or	sexual	orientation	shall	
be	prohibited.
42
@aureliepols For	Berlin	Buzzword	©	Competing	on	Privacy	
Profiling
43
Source:	DataGuidance	GDPR	Essentials:	Data	Subject	Rights
@aureliepols For	Berlin	Buzzword	©	Competing	on	Privacy	
Assuring	compliance	with	profiling	activities
44
Source:	DataGuidance	GDPR	Essentials:	Data	Subject	Rights
@aureliepols For	Berlin	Buzzword	©	Competing	on	Privacy	
Applicability	of	automated	decision	making
• Typical	examples	are	scoring	solutions	to	come	to	a	decision
• Credit	scoring	for	loans,	mortgages…	(Google	ban	on	PayDay	loans)
• Educational	scoring	to	get	into	colleges...
• It’s	based	on	this	idea	that:
• Discrimination	is	not	allowed
• You	shouldn’t	keep	paying	for	past	errors	
• Someone	should	take	responsibility	for	wrong	data	(false	positives/negatives)	
=>	acceptable	levels?
• Applicable	for	agencies?
• Activation	of	data	by	DMP	&	CDPs	is	a	risk
• Eg.	Price	discrimination
45
@aureliepols For	Berlin	Buzzword	©	Competing	on	Privacy	
Reality	check
At	least	in	my	digital	world
46
@aureliepols For	Berlin	Buzzword	©	Competing	on	Privacy	
Technology	stacks
4
7
Digital	
Transformation	is	as	
much	a	buzz	word	as	
GDPR
@aureliepols For	Berlin	Buzzword	©	Competing	on	Privacy	
Some	numbers
Since	the	enforcement	of	the	GDPR:
• The	Dutch	supervisory	authority	received	170	complaints	in	the	1st
week	of	the	GDPR
• The	Irish	supervisory	authority	1.300	in	the	last	week	of	May
• The	Spanish	SA	estimates	their	annual	complaints	at	10.000	
(multiplied	by	5	since	2008)
• Some	of	our	clients	have	received	over	2.200	deletion	requests
• We	solved	12%	of	these	requests
48
@aureliepols For	Berlin	Buzzword	©	Competing	on	Privacy	
Hands	up:	how	many	of	you	know
• What	an	IDFA	is?
• What	an	AdID?
• Where	to	find	it?
• Where	to	find	the	ID	of	a	specific	app?
• How	to	fill	in	a	SAR?
• How	to	complain	to	the	supervisory	authority?
49
@aureliepols For	Berlin	Buzzword	©	Competing	on	Privacy	
Legislation	is	not	perfect
Whish	list:	nudging	data	actors	to	think	about
• Aligning	economic	incentives!
• Is	accountability	enough?
• The	blurring	lines	of	personal	data
• Data	ownership	revisited
• Go	beyond	linear	controller/processor	models
• Co-ownership
• Data	producers?
• Fostering	data	exchange	and	purpose	classification	
standards
50
Bits	of	me,	you,	we,	us
@aureliepols For	Berlin	Buzzword	©	Competing	on	Privacy	
What	privacy	engineers	should	focus	on
• Purpose	classification • Consent	trails	and	traceability	
(including	reverse	engineering	
between	parties/legal	entities)
51
@aureliepols For	Berlin	Buzzword	©	Competing	on	Privacy	 52
@aureliepols For	Berlin	Buzzword	©	Competing	on	Privacy	
Thank	you	for	
your	attention
aurelie@mindyourprivacy.com
53

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