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Hybrid Cognitive-Affective Strategies for AI Safety
N. Aliman
Sub General Interaction
Research output
:
Thesis
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Doctoral thesis 1 (Research UU / Graduation UU)
Overview
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Dive into the research topics of 'Hybrid Cognitive-Affective Strategies for AI Safety'. Together they form a unique fingerprint.
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Keyphrases
Cognitive-affective Processes
100%
AI Safety
100%
Affective Strategies
100%
AI Risks
57%
Socio-technical
42%
AI-based Methods
42%
Feedback Loop
28%
Instantiation
28%
Value Alignment
28%
Utilitarianism
14%
17th Century
14%
Virtual Reality
14%
Error Correction
14%
Human Cognition
14%
Type Systems
14%
Cognizance
14%
Affective Information
14%
Orthogonality
14%
Social Information
14%
Baruch Spinoza
14%
Disentanglement
14%
Popular Media
14%
Technological Framework
14%
Security Measures
14%
Value Control
14%
Self-awareness
14%
Human-machine Interaction
14%
Co-construction
14%
Human Morality
14%
Nutshell
14%
Cybersecurity
14%
Type II System
14%
Disjunct
14%
Error Prediction
14%
Malice
14%
Goal Function
14%
Adversarial Examples
14%
I-systems
14%
Mutual Value
14%
Computer Science
Artificial Intelligence
100%
Transdisciplinary
11%
Feedback Loop
11%
Instantiation
11%
Centered Approach
5%
Type Systems
5%
Human-Computer Interaction
5%
Virtual Reality
5%
Cybersecurity
5%
Affective Information
5%
Security Measure
5%
Adversarial Example
5%
Error Correction
5%
Prediction Error
5%
Social Information
5%
Social Sciences
Artificial Intelligence
100%
Transdisciplinary
11%
Safety Measures
5%
Social Information
5%
Self Awareness
5%
Human Machine Interaction
5%
Human Cognition
5%
Virtual Reality
5%
Seventeenth Century
5%
Coconstruction
5%
Price
5%
Psychology
Artificial Intelligence
100%
Human Cognition
5%
Self Awareness
5%
Human-Machine Interaction
5%