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Legal limits of the AI
software development:
what should be taken into
account?
«Humans, who are limited by slow biological
evolution, couldn't compete, and would be
superseded [by the AI]»
Stephen Hawking
for the BBC, 2014
‚Prohibition of the
„thinking
machines” and
establishment of
the Mentat pcaste’
Franck Herbert,
„Dune Universe”
‘Limitation of the
operation period of
the androids’
Philipp K. Dick, “Do
Androids Dream of
Electric Sheep?”/Blade
Runner Universe
Asimov’s Laws of Robotics
1. A robot may not injure a human being or,
through inaction, allow a human being to
come to harm.
2. A robot must obey the orders given it by
human beings except where such orders
would conflict with the First Law.
3. A robot must protect its own existence
as long as such protection does not
conflict with the First or Second Laws.
Oren Etzioni Proposals for A.I.
1. An A.I. system must be subject to the full
gamma of laws that apply to its human
operator
2. An A.I. system must clearly disclose that
it is not human
3. An A.I. system cannot retain or disclose
confidential information without explicit
approval from the source of that
information
Why the regulation is needed?
To provide predictable and sufficiently
clear conditions under which enterprises
could develop applications and plan their
business models;
To ensure that the EU and its Member
States maintain control over the
regulatory standards to be set, so as not
to be forced to adopt and live with
standards set by others.
1.‘rules must not affect the process of
research, innovation and development in
robotics’
2.‘whereas a gradualist, pragmatic and
cautious approach… should be adopted… with
regard to future initiatives on robotics and AI
so as to ensure that we do not stifle
innovation’
3.’the importance of measures to help small
and medium-sized enterprises and start-ups in
the robotics sector’
Challenges of AI development
1. Social and economic
2. Ethical
3. Legal
• complementing human
capabilities and not replacing
them;
• guarantees that humans have
control over intelligent
machines at all times;
• special attention to the
development of an emotional
connection between humans
and robots.
PRINCIPLES OF REGULATION?
Emotional
connection
Still, providing a
possibility to identify
that one is dealing not
with human, but robot
Control while decision-
making
• safeguards and the possibility of human
and verification need to be built into the
of automated and algorithmic decision-
• ‘access to the source code, input data, and
construction details to investigate accidents
damage caused by smart robots’
• it should always be possible to supply the
rationale behind any decision taken with the
of AI that can have a substantive impact on
or more persons’ lives (“black box”
requirement).
• ‘the responsibility of designers of robotics and
artificial intelligence to develop products to be
safe, secure and fit for data protection
regulations’.
• 'to ensure civil law regulations in the robotics
sector are consistent with the General Data
Protection Regulation'
• 'a review of rules and criteria regarding the use
of cameras and sensors in robots'
• 'compliance with principles of data protection:
privacy by design and privacy by default, data
minimisation, purpose limitation, transparent
control mechanisms for data subjects and
appropriate remedies'
DATA PROTECTION
Certification
CONTROL SYSTEM WITHIN THE EU
Establishing of EU Agency for
Robotics and Artificial Intelligence.
Creation of the system of registration
of advanced robots for specific
categories of robots.
Development of the criteria for the
classification of robots.
AI & robotic taxes
Special tax regime to
fund the Universal
Basic Income
“AI is a rare case where I think we
need to be proactive in regulation
instead of reactive. Because I
think by the time we are reactive
in AI regulation, it’s too late”
Elon Musk,
15th July 2017
Why legal
regulation of AI
is needed?
Thank you
for the
attention
Ivan Horodyskyy
Dexis Partners
097 945 1687
ivan@dexis.partners

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Ivan Horodyskyy “Legal limits of the AI software development: what should be taken into account?”

  • 1. Legal limits of the AI software development: what should be taken into account?
  • 2. «Humans, who are limited by slow biological evolution, couldn't compete, and would be superseded [by the AI]» Stephen Hawking for the BBC, 2014
  • 3. ‚Prohibition of the „thinking machines” and establishment of the Mentat pcaste’ Franck Herbert, „Dune Universe”
  • 4. ‘Limitation of the operation period of the androids’ Philipp K. Dick, “Do Androids Dream of Electric Sheep?”/Blade Runner Universe
  • 5. Asimov’s Laws of Robotics 1. A robot may not injure a human being or, through inaction, allow a human being to come to harm. 2. A robot must obey the orders given it by human beings except where such orders would conflict with the First Law. 3. A robot must protect its own existence as long as such protection does not conflict with the First or Second Laws.
  • 6. Oren Etzioni Proposals for A.I. 1. An A.I. system must be subject to the full gamma of laws that apply to its human operator 2. An A.I. system must clearly disclose that it is not human 3. An A.I. system cannot retain or disclose confidential information without explicit approval from the source of that information
  • 7. Why the regulation is needed? To provide predictable and sufficiently clear conditions under which enterprises could develop applications and plan their business models; To ensure that the EU and its Member States maintain control over the regulatory standards to be set, so as not to be forced to adopt and live with standards set by others.
  • 8. 1.‘rules must not affect the process of research, innovation and development in robotics’ 2.‘whereas a gradualist, pragmatic and cautious approach… should be adopted… with regard to future initiatives on robotics and AI so as to ensure that we do not stifle innovation’ 3.’the importance of measures to help small and medium-sized enterprises and start-ups in the robotics sector’
  • 9. Challenges of AI development 1. Social and economic 2. Ethical 3. Legal
  • 10. • complementing human capabilities and not replacing them; • guarantees that humans have control over intelligent machines at all times; • special attention to the development of an emotional connection between humans and robots. PRINCIPLES OF REGULATION?
  • 11. Emotional connection Still, providing a possibility to identify that one is dealing not with human, but robot
  • 12. Control while decision- making • safeguards and the possibility of human and verification need to be built into the of automated and algorithmic decision- • ‘access to the source code, input data, and construction details to investigate accidents damage caused by smart robots’ • it should always be possible to supply the rationale behind any decision taken with the of AI that can have a substantive impact on or more persons’ lives (“black box” requirement).
  • 13. • ‘the responsibility of designers of robotics and artificial intelligence to develop products to be safe, secure and fit for data protection regulations’. • 'to ensure civil law regulations in the robotics sector are consistent with the General Data Protection Regulation' • 'a review of rules and criteria regarding the use of cameras and sensors in robots' • 'compliance with principles of data protection: privacy by design and privacy by default, data minimisation, purpose limitation, transparent control mechanisms for data subjects and appropriate remedies' DATA PROTECTION
  • 14. Certification CONTROL SYSTEM WITHIN THE EU Establishing of EU Agency for Robotics and Artificial Intelligence. Creation of the system of registration of advanced robots for specific categories of robots. Development of the criteria for the classification of robots.
  • 15. AI & robotic taxes Special tax regime to fund the Universal Basic Income
  • 16. “AI is a rare case where I think we need to be proactive in regulation instead of reactive. Because I think by the time we are reactive in AI regulation, it’s too late” Elon Musk, 15th July 2017 Why legal regulation of AI is needed?
  • 17. Thank you for the attention Ivan Horodyskyy Dexis Partners 097 945 1687 ivan@dexis.partners