Artificial General Intelligence (AGI)
GPTKB entity
Statements (52)
Predicate | Object |
---|---|
gptkbp:instance_of |
gptkb:Artificial_Intelligence
|
gptkbp:bfsLayer |
3
|
gptkbp:bfsParent |
gptkb:Jürgen_Schmidhuber
|
gptkbp:advocates_for |
gptkb:Elon_Musk
gptkb:Stephen_Hawking |
gptkbp:application |
Robotics.
Education. Entertainment. Healthcare. Finance. |
gptkbp:author |
Geoffrey Hinton.
Yoshua Bengio. Nick Bostrom. Jürgen Schmidhuber. Marvin Minsky. Ray Kurzweil. |
gptkbp:challenges |
Creating systems that can generalize knowledge.
Understanding human cognition. |
gptkbp:defines |
A type of AI that can understand, learn, and apply intelligence across a wide range of tasks, similar to a human.
|
gptkbp:example |
Self-driving cars with human-like decision-making.
|
gptkbp:field_of_study |
Computer Science
|
gptkbp:future_plans |
Creating robust AI systems.
Developing safe AGI. Enhancing human capabilities. Exploring ethical frameworks. Understanding human-like reasoning. |
gptkbp:goal |
To achieve human-level cognitive abilities.
|
gptkbp:historical_debate |
Consciousness.
Machine ethics. What it means to be intelligent. |
https://www.w3.org/2000/01/rdf-schema#label |
Artificial General Intelligence (AGI)
|
gptkbp:impact |
Transform industries and society.
|
gptkbp:is_a_framework_for |
AGI architectures.
Cognitive architectures. Universal Intelligence. |
gptkbp:issues |
Job displacement.
Control problem. Ethical implications of creating superintelligent systems. |
gptkbp:produced_by |
Still in research phase.
|
gptkbp:public_perception |
Fear of loss of control.
Hope for solving complex problems. Mixed feelings about its development. |
gptkbp:regulatory_compliance |
International cooperation required.
Need for regulations. |
gptkbp:related_to |
gptkb:software_framework
gptkb:Cognitive_Computing |
gptkbp:research_areas |
gptkb:engine
|
gptkbp:scientific_classification |
Different from Narrow AI.
|
gptkbp:theory |
Turing Test.
|
gptkbp:vision |
AI governance.
Human-AI collaboration. Superintelligence. |