A presentation made during the international Youth Exchange called Digital Danger and financed Erasmus+ Programme through Dům zahraniční spolupráce and the European Union
2. Defining AI
• A computer is AI if it can mimic
human responses under specific conditions –
Turing Test (Turing, 1950)
• AI is "the science and engineering of
making intelligent machines" –
Intelligence means "the computational part of
the ability to achieve goals in the
world" (McCarthy, 2007)
3. In short, one can define AI as
processes that adapt to new goals
and situations for making
decisions and developing actions
based on a software. AI learns from
experience and is based on
technology that enables natural
language processing, data retrieval,
knowledge representation semantic
reasoning, and learning (Sebastião,
2019).
It does, however, have its
limitations. There is a whole set of
human properties that science,
technology, engineering, and
mathematics cannot rationalize,
calculate, reproduce, or manipulate,
such as creativity, compassion,
originality, reciprocity,
responsibility, and empathy
(Leonhard, 2017).
4. Or is it?
We use AI in everyday life
• Travel & Navigation (Uber, Google Maps, virtual travel booking agent)
• Smartphone Assistants (Siri, Alexa)
• Social Media Feeds (learning algorithms, advertisements)
• Smart Cars (self-driving cars)
• Smart Homes (lights, domestic robots, security & surveillance)
• Finance Services (automated financial investing)
5. What's the
future of AI?
How does It look?
What will It be?
For what purposes will It be
used?
Does It feel?
Will It have rights?
Can we call It an "It"?
MEET LIL
MIQUELA, the
virtual influencer
6. Principles for
responsible and
reliable manageme
nt of AI (OECD,
2019)
1) AI should promote inclusive growth, sustainable
development and well-being, for the population and the
planet;
2) AI should respect the law, human rights, and democratic
values, as well as there should be the option of human
intervention in these systems when necessary;
3) There must be transparency and responsible disclosure
about AI systems
4) AI systems should operate in a robust and safe manner,
with potential risks being continually assessed and
corrected;
5) Organizations and individuals developing and operating AI
systems should be held accountable for their proper
functioning, according to the principles mentioned.