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@aureliepols
Digital	identities
Playing	devil’s	advocate:	what	could	possibly	go	wrong?
Aurélie	Pols	– Ottawa	November	2018
1
@aureliepols
Data	Governance	&	Privacy	Engineer
Data	is	the	New	Infrastructure	– Privacy	is	the	New	Green	– Trust	is	the	New	Currency
Dutch nationality,	French mother	tongue,	works	in	English,	lives	in	Spain
2
AURELIE	POLS,	
DATA	GOVERNANCE	
&	PRIVACY	ENGINEER
• Co-founder	– Competing	on	Privacy
• DPO	Customer	Data	Platform	mParticle
• Ethics	Advisory	Group	(EAG)	– European	Data	Protection	Supervisor	(EDPS)
• Professor	of	Ethics	&	Privacy,	Big	Data	&	Analytics	Master	– Instituto	de	Empresa	(IE),	Madrid;	guest	lecturer	DPO	certification	courses	
Maastricht	University	&	Solvay	Brussels	School,	board	member	of	European	Centre	on	Privacy	and	Cybersecurity	(ECPC)
• P7002	– Data	Privacy	Process	– IEEE
• Speaker/writer/consiglieri:	SWSX,	Strata	(+	Hadoop	World),	IAPP,	Piwik	Pro,	AT	Internet,	industry	associations,	AdTech	&	MarTech	
vendors,	…
2003:	OX2	Co-
founder
Webanalytics.be
2008:	Sold	to	
Digitas	LBi	
(Publicis)
@aureliepols
Talked	about	this	back	in	2013
Prismatic	identity Single	identity	policy?
3
Hint:	there	is	case	law	
here	in	one	of	the	
(obscure)	German	
länders
@aureliepols
Worlds	are	colliding!
Privacy	by	Design	
lady
7	principles:
1. Proactive	not	reactive,	preventive	not	
remedial
2. Privacy	as	the	default
3. Privacy	embedded	into	Design
4. Full	functionality	– positive	sum,	no	
zero	sum
5. End-to-end	security	– Lifecycle	
protection
6. Visibility	and	transparency
7. Respect	for	user	privacy
4
@aureliepols
Some	family	history
5
@aureliepols
What	data	can	also	reveal
6
Sounds	familiar?
@aureliepols
Technology	in	trouble?
7
Facebook	&	Myanmar
Salesforce	&	ICE
@aureliepols
The	most	powerful	LEGO	blocks?
8
From	Privacy	Engineering	Manifesto
@aureliepols
GDPR:	6	basis	for	lawful	processing
Article	6.1:
(a) Consent	=>	where	conditions	are	laid	out	in	art.	7
(b) Contract
(c) Compliance
(d) Vital	interests
(e) Public	interest
(f) Legitimate	interest	=>	NOT	available	to	public	authorities!!!!
(and	requires	a	balancing	test	ie closer	to	a	philosophical	human	rights	essay	
than	a	linear	consent	trail)
9
@aureliepols
Infamous	art.	30:	Records	of	processing	activities
10
• Purpose	classification • Consent	trails	and	traceability	
(including	reverse	engineering	
between	parties/legal	entities)
@aureliepols
Key	ideas
1. Identity	for	an	individual	but	also	as	a	household,	part	of	a	tribe
2. Human	in	the	loop	for	“outliers”?
• Technology	can	NEVER	define	ALL	possible	use	cases	(revenge	porn)
3. Consent	is	one	of	6	lawful	basis	for	data	processing
• It	goes	together	with	purpose	=>	classification?
4. Merging	data:	
• What	happens	with	consent?	For	what?	Which	part?
• What	happens	with	identifiability	&	PII/Personal	Data/Personal	Information?	
(Sweeney:	zip	code	+	gender	+	date	of	birth=	80%	of	US	population)
11
@aureliepols 12
@aureliepols
Followed	by
• Once	we	get	to	accountability,	we	can	revisit	the	obsolescence	of	consent	
(the	Chinese	are	already	there)	in	light	of	IoT
• While	recognizing	that	PII/Personal	Data/Information	is	porous	at	best
• Because	the	rule	of	law	is	the	most	powerful	LEGO	block,	it’s	not	
technology!	(code	is	not	law,	it	can’t	be	at	this	stage)
• My	name	is	Aurélie	Pols,	I	am	a	3rd generation	holocaust	survivor	and	have	
multiple	identities.	Views	from	the	Privacy	Engineering	trenches,	
free	of	disclaimers	aka	just	my	views	and	not	any	of	my	clients	- European	
at	heart
13
@aureliepols
Thank	you	for	
your	attention
aurelie@mindyourprivacy.com
14

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