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Emerging Technology and Data Privacy

Emerging Technology
Data Privacy

What we will cover in this topic
What is the relationship between emerging technology and
data privacy?
What is the existing legislative and regulatory framework for
data privacy – and how might it be challenged by emerging
technology?
What practical techniques are used to assure data privacy?

1. Emerging Technology and Data Privacy –
What is meant by Data Privacy?
Whether or how
data is shared
with third parties
How data is
legally collected
or stored
Regulatory
frameworks such
as the GDPR
and others

1. Emerging Technology and Data Privacy –
Data Types
Provided
Observed
Derived
Inferred
Data consciously provided by individuals
Data which is recorded automatically
Data produced from other data in a simple and
straightforward way
Using connections between datasets to categorise
and profile individuals

1. Emerging Technology and Data Privacy –
Challenges
Algorithms Opacity of
Processing
New types of
data
Specific threats
inherent in each
emerging
technology

1. Emerging Technology and Data Privacy –
Implications
Fairness Security
Accountability

1. Emerging Technology and Data Privacy –
Implications
Fines / Compensation
Damage / Risk to life
Reputational damage
Loss of data

1. Emerging Technology and Data Privacy –
Opportunities

Efficiency
• Speed of
addressing
data privacy
issues
• Lower cost in
doing so

AssignmentTutorOnline

 

Intelligence
• Better depth,
quality and
accuracy of
threat insight
• Suspicious
data use
patterns

 

Transformation
• New
approaches
to identifying
& addressing
data privacy
threats

1. Emerging Technology and Data Privacy –
Activity
1. We have outlined four types of data that can be processed and stored.
These are provided, observed, derived and inferred. With respect to
EACH of these, can you outline a possible data breach or abuse that
could occur?
2. We have also outlined how emerging technology can be used to
improve data privacy. Based on your professional experience or other
research, please identify TWO recent technical innovations or
solutions which improve data privacy for individuals and/or
organisations.

2. Legislative framework for data privacy –
Background
Ease of creation
• Active and passive digital footprint
• Some we know about – some we do not
Ease of searching and interrogating
• Different sources of data are cross referenced to get a holistic picture
• Previous, present and predicted behaviour of individual or group
Ease of sharing
• Legitimate and illegal data trading
• Ethics remain questionable
Relationships between individuals and organisations
• User Agreements highly problematic
2. Legislative framework for data privacy – GDPR
Access Rectification Erasure
Restriction of
processing
Automated
individual
decision-making
https://ico.org.uk/for-organisations/guide-to-data-protection/guide-to-the-general-data-protectionregulation-gdpr/individual-rights/
2. Legislative framework for data privacy – GDPR
Data to be processed lawfully, fairly and in a transparent manner
Data for specified, explicit and legitimate purposes
Data to be adequate, relevant and limited to what is necessary
Data to be accurate and up to date
Data to be retained only for as long as necessary
Processed in an appropriate manner to ensure security

2. Legislative framework for data privacy –
AI Challenges
Dynamic nature
of AI algorithms
Autonomous
data processing
for other
purposes
Credibility of risk
assessment
https://cyberwatching.eu/gdpr-compliance-age-emerging-technologies-0
2. Legislative framework for data privacy –
IoT Challenges
Proliferation of
data controllers
Lack of user
information
about data
processing
Allocation of
privacy roles
Data processing
rights of non
primary IoT
users

2. Legislative framework for data privacy –
Blockchain Challenges
Data minimisation
and storage
limitations difficult
to enforce
Difficult to address
contractual
minimum
obligations
Lawfulness of
international
transfers

2. Legislative framework for data privacy –
Activity
1. There have been a number of high-profile cases where the GDPR has
been breached and where individual data privacy has been
threatened. Based on your research or professional experience,
identify TWO such cases and explain the way in which GDPR was
breached.
2. We have pointed to three ways in which emerging technology can
challenge data privacy. These include ease of data creation,
searching, and sharing. For EACH of these, please identify one way in
which data privacy can be threatened.

Break Time
3. What practical techniques are used to assure
data privacy? – Information Lifecycle
Create
Store
Use
Share
Archive
Destroy

https://edrm.net/resources/frameworks-and-standards/information-governance-referencemodel/using-the-igrm-model/
3. What practical techniques are used to assure
data privacy? – Retention
Retention
Schedule
Physical
Retention
Policy
Digital
Retention
Policy

3. What practical techniques are used to assure
data privacy? – Classification

3. What practical techniques are used to assure
data privacy? – Anonymisation
To distinguish an individual is to identify them
• Name, NI number, date of birth
To trace an individual
• Audit log, geolocation information
Linked information about the individual
• Joining two databases with PII
3. What practical techniques are used to assure
data privacy? – Anonymisation
Encryption Attribute
Suppression
Character
Masking
Generalisation Data
Perturbation

3. What practical techniques are used to assure
data privacy? – Activity
1. We have identified a range of techniques used to implement data
anonymisation. Using research and/or your professional experience,
can you identify TWO other similar anonymisation techniques that can
be used in this area.
2. We have also set out how data can be classified in terms of its
importance and who is permitted to view and use it. Can you point to
ONE possible problem or shortcoming with this technique?

Next Steps
1. We have outlined possible implications of emerging technology for data
privacy in terms of challenges and opportunities.
2. The existing legislative framework governing data privacy was set out
and we pointed to a number of the potential challenges that specific
technologies pose to the framework?
3. A variety of practical data privacy techniques were discussed including
information governance, data retention and deletion policies, data
classification and data anonymisation.

Next Steps
• Go through the Module Overview and Introduction (if not
done yet)
• Go through the Preparation and Apply part of next week’s
topic

Emerging Technology
Data Privacy

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