11/05/2022
DSC CROATIA 22
WHY SHOULD DATA SETS CARE ABOUT PRIVACY,
RULE OF LAW AND HUMAN RIGHTS IN AT ALL ?

https://youtu.be/CWGWO2thgqw
IT IS ALL ABOUT PERSPECTIVE.....

AI “made in
Europe”
 EU initiative on AI in spring 2018
 10 April 2018 25 European countries signed a Declaration of cooperation on Artificial
Intelligence (Croatia signed on 16 July 2018
 The Commission has selected 52 experts for the High-level Expert Group on Artificial
Intelligence (AI HLEG) giving them a mandate to deliver:
1. Ethics guidelines for trustworthy AI on 8 April 2019
2. Policy and investment recommendations for trustworthy Artificial
Intelligence June 2019
3. WHITE PAPER February 2020. (eco system of trust and ecosystem of
excellence)
4. Draft AI ACT (Regulation) 21 April 2021 expected Autumn 2022

AI ethics guidelines
TRUSTWORTHY AI:
1. it should be lawful, complying with all
applicable laws and regulations;
2. it should be ethical, ensuring adherence to
ethical principles and values; and
3. it should be robust, both from a technical and
social perspective, since, even with good
intentions, AI systems can cause unintentional
harm.

EU primary law
(the Treaties of the European Union
and its Charter of Fundamental Rights)
1. Respect for human dignity
2. Freedom of the individual
3. Respect for democracy, justice and the rule of law
4. Equality, non-discrimination and solidarity including the
rights of persons belonging to minorities
5. Citizens rights

ETHICAL PRINCIPLES
AND VALUES
1. The Principle of Beneficence: “Do
Good”
2. The Principle of Non maleficence:
“Do no Harm”
3. The Principle of Autonomy:
“Preserve Human Agency”
4. The Principle of Justice: “Be Fair”
5. The Principle of Explicability:
“Operate transparently”

7 key requirements that
AI systems should meet
in order to be deemed
TRUSTWORTHY
 Human agency and oversight
 Technical Robustness and safety
 Privacy and data governance
 Transparency
 Diversity, non-discrimination and
fairness
 Societal and environmental well-being
 Accountability

Privacy and data governance
 Privacy and data protection throughout a system’s entire lifecycle.
 Digital records of human behaviour may allow AI systems to infer not only individuals’
preferences, but also their sexual orientation, age, gender, religious or political views.
 To allow individuals to trust the data gathering process, ensure data collected about them will
not be used to unlawfully or unfairly discriminate against them.
 Quality and integrity of data. When data is gathered, it may contain socially constructed biases,
inaccuracies, errors and mistakes (i.e. addressed prior to training with any given data set).
 Processes and data sets used must be tested and documented at each step such as planning,
training, testing and deployment.
 Access to data. In any given organisation that handles individuals’ data , data protocols governing
data access should be put in place.
 Scenarios where human intervention would not immediately be possible should also be
considered.
https://www.hansonrobotics.com/sophia/

RISK BASED APPROACH AI ACT DRAFT

TIPS FOR FUTURE
 CRO AI Croatian Association for Artificial Intelligence
 AI ALLIANCE
European AI Alliance | Shaping Europe’s digital future (europa.eu)

Thank you
marijana.sarolic@msrlegal.hr