
Human-Artificial Intelligence Nexus
JPM925
The course offers philosophical reflections reaching beyond the contemporary ML (machine learning models) towards hypothesised instances of AI (Artificial Intelligence), such as AGI (Artificial General Intelligence) or even SI (Superintelligence, task specific and general). By its nature, the discussed subject matter leaves the traditional confines of security studies and progresses in the direction of the following issues. While popular imaginaries unpack the concept of AI stretching beyond the state-of-the-art ML as an (omnicidal) existential risk, the issue is indeed amenable to a considerably subtler analysis. Beginning with the reflection of past conceptions of universal (artificial) intelligence, three main areas will be covered. First, to properly appreciate the ramifications of AGI and SI, the course inquires about the agents’ foundations and the philosophical reflections of their alignment, including a critical assessment of AGI and SI discernible in the existing research. Building on such rigorous foundation, the second and third subject areas cover on the one hand the benefits of achieving alignment with human intentions/needs and, on the other hand, the risks stemming from unaligned AGI/SI instances. Finally, what emerges is an understanding of the possible Human-AI nexus and the related puzzle of whether it can be assumed to be the ‘End of History’, beneficial or otherwise.
This course is opened for students prg.ai Minor only in summer semester due to capacity reasons.
Details
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FSV CUNI
FACULTY
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Summer
TERM
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Spojení člověk - umělá inteligence
OFFICIAL CZECH NAME
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https://is.cuni.cz/studium/predmety/index.php?do=predmet&kod=JPM925
OFFICIAL LINK IN CZECH
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Human-Artificial Intelligence Nexus
OFFICIAL ENGLISH NAME
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https://is.cuni.cz/studium/eng/predmety/index.php?do=predmet&kod=JPM925
OFFICIAL LINK IN ENGLISH
STILL SOME QUESTIONS?
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FEE CTU
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Artificial Intelligence in Robotics
B4M36UIR/BE4M36UIR Winter
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Autonomous Robotics
B3M33ARO1/BE3M33ARO1 Summer
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Computer Vision Methods
B4M33MPV/BE4M33MPV Summer
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Functional Programming
B4B36FUP Summer
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Introduction to Artificial Intelligence
B4B36ZUI Summer
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Julia for optimization and learning
B0B36JUL Winter
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Pattern Recognition and Machine Learning
B4B33RPZ/BE5B33RPZ Winter
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FIT CTU
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FSV CUNI
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MFF CUNI
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Artificial Intelligence I
NAIL069 Winter
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Artificial Intelligence II
NAIL070 Summer
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Deep Learning
NPFL138 Summer
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Deep Reinforcement Learning
NPFL139 Summer
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Dialogue Systems
NPFL123 Summer
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Introduction to Artificial Intelligence
NAIL120 Summer
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Introduction to Machine Learning with Python
NPFL129 Winter
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Large Language Models
NPFL140 Summer
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Modern Algorithmic Game Theory
NOPT021 Winter
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Natural Language Processing
NPFL124 Summer
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