2. Working to help
management take
better decisions
People-based
approach to Data
Science
Applied Research,
MasterClasses, Exe
cEd modules, and
Spring and Summer
Programs
Does Trust Matter?
3. TRUST BY
DESIGN
Why does GDPR
matter?
Technology is the
foundation of the
economy
Data protection vs
personal privacy
The worth of your
data
The problem, GDPR
as a solution, where
do we go from here“Trust doesn’t hinge on how much
data you hold as much as how the
data is being used”
5. THE DEFICIT
OF TRUST
From blind faith
to referred trust
to ?
Global Economy
Virtual “reality”
Post-Truth
6. WHY
GDPR?
Digital data has become
the de facto currency of
global exchange
Those that collect and
control these
“transactions” control us
GDPR regulates the
commercial use of the
private and sensitive data
A citizen’s bill of digital
rights
Data Protection underlies
the design of our data
stores, applications and
7. THE PARADOX OF
TRUST
Creating one
priceless
asset - trust
A single
version of the
truth
Decentralize
d control
An
immutable
audit trail
Atomization
Messages
Bottom line - Can GDPR contribute to the bottom line?
Preaching in the desert - Preaching in a virtual desert –talk about ethics, keep them from doing business
Competitive environment - As we focus on compliance, a more important question remains, how can GDPR provide a basis for competitive advantage?
Keys to transformation - Next few moments I would like to offer you some of the keys to understanding phew to transform this regulatory constraint into an opportunity to improve your business and your careers
Foundation of digital economy isn’t data but the ability to analyze the data to improve decision-making
Training, research and consulting assignments in fields of digital economics, machine learning, AI and data storytelling
The paradox of trust : more and more data, less and less trust in companies, organizations, and the State
Data Science – decision making based on past best practices to focus on scenarios for the future
Condition of trust - work on something that matters
Does it matter- Why does GDPR matter?
Importance of technology- Technologies provides the foundation of the world’s most powerful companies: algorithmic search, social media, mobile computing, cloud services, big-data analytics, AI, and more.
Data - Data is a transaction of the relations between your organization and its customers
The value of your data - isn't worth more than the confidence your stakeholder's have in your data practices
Data security - Data protection vs personal privacy
Outline - why there is a problem, is GDPR the solution, where do we go from here
Is trust important ?
Basis of trust- To achieve trust, we need a common system for keeping track of our transactions, a system that gives definition and order to society itself.
Banks- You pay your bank interest and fees to verify accounts so that I could make payments to strangers
Insurance - company premiums to oversee the risk around my health, car, home, and even life
The state - taxes to provide roads and education
The need for trust allows companies like Google, Facebook, and Amazon to turn economies of scale and network effects into de facto monopolies.
In today’s business environment, why should we trust anyone?
Few years back, worked for a very large database company on promoting the use of social media internally to improve management.
trusted intermediaries are part of the world of institutional trust that is now being deeply questioned
from blind trust to situational and to refered trust
Global economy – distance between those that produce and those that consume information
Virtual world – nature of communication has fueled a post-modernist world of fake news
What does GDPR compliance have to do with trust?
Europe’s General Data Protection Regulation recognizes both that digital data has become the new currency of world economy
Private and public organizations that collect and control the vast record of these “transactions” control us.
GDPR explicitly recognizes this inherent danger in proposing to regulate the commercial use of the private and sensitive data that describes who we are, what we think and what we do.
GDPR introduces a European citizen’s bill of digital rights where European citizens (“data subjects) have the right to know how this data is being collected, where and for what purpose.
Data controllers and data processors are now required to institute processes and internal record keeping requirements to insure compliance with these new regulations.
Most importantly, the legislators aim to influence the nature of our data practices - data protection should predicate the design of our databases, applications and information systems.
GDPR introduces a European citizen’s bill of digital rights.
right to be informed
right of access,
right to rectification,
right to erasure/to be forgotten,
right to restrict processing,
right to data portability,
right to object
Blockchains
Creating one priceless asset - trust
A single version of the truth
Decentralized control
An immutable audit trail
Atomization
very purpose of the technology, which is to create a single indisputable version of the truth, freely accessible to all
What the cryptographer Ian Grigg described as “triple-entry bookkeeping”: one entry on the debit side, another for the credit, and a third into an immutable, undisputed, shared ledger
Decentralized control
Regulators will like that blockchain-based transactions can achieve greater transparency and traceability– an “immutable audit trail”,
The digital distributed ledger could transparently report the financial transactions of an organization in real time
People - interviews
GDPR
Limits on data processing and consumer profiling,
Imposes a “right to an explanation” when organizations use automated decision-making
Holds organizations accountable for bias and discrimination in automated decisions.
Encourages
Robust anonymization of the data.
Correction of indirect bias from proxy variables, multicollinearity, and other causes to limit discriminatory outcomes.
data lineage in documenting the flow of data through all processing steps from source to target
“Trust by design” proposes a set of data practices that accounts for the short-term requirements of GDPR while exploring the longer-term opportunities of new forms of data science.
The overall vision is that of open, interactive data practices that deliver transparency, customer empowerment, portability, and data quality.
The guiding principles:
data justification : providing consumers with the stated objective for capturing their private data,
selective access: allowing the owners of the data to decide on its degree of exposure, and
impact assessment: documenting the processes with which your data is stored internally and on the cloud,
data security : assuring that your organization has the expertise to securely use proprietary and open data,
open practices : instituting ethical and transparent data practices within your organization and business community.