Statements (116)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:Artificial_Intelligence
|
| gptkbp:application |
Robotics.
Education. Transportation. Healthcare. Finance. |
| gptkbp:can_lead_to |
superintelligence
|
| gptkbp:can_perform |
any intellectual task
|
| gptkbp:challenges |
unpredictability
complexity of human cognition |
| gptkbp:characteristic |
Generalization across domains.
Self-improvement capabilities. Understanding and reasoning. |
| gptkbp:collaborated_with |
international organizations
|
| gptkbp:defines |
A type of artificial intelligence that can understand, learn, and apply intelligence across a wide range of tasks.
|
| gptkbp:developed_by |
gptkb:various_countries
gptkb:researchers deep learning collaborative efforts |
| gptkbp:future_prospects |
transform industries
Global cooperation on AI safety. Importance of interdisciplinary research. Need for ethical frameworks. Possibility of achieving superintelligence. Potential for unprecedented innovation. |
| gptkbp:goal |
To perform any intellectual task that a human can do.
|
| gptkbp:has_achieved |
emerge in the future
|
| gptkbp:has_goal |
achieve human-level intelligence
|
| gptkbp:historical_period |
Predicted to be developed in the 21st century.
|
| https://www.w3.org/2000/01/rdf-schema#label |
AGI
|
| gptkbp:impact |
Economic changes.
Global challenges. Technological advancement. Human enhancement. Societal transformation. |
| gptkbp:is_a_framework_for |
Superintelligence.
Chinese room argument. Turing test. |
| gptkbp:is_aimed_at |
solving complex problems
creating intelligent agents |
| gptkbp:is_associated_with |
gptkb:robotics
|
| gptkbp:is_challenged_by |
public perception
ethical dilemmas resource constraints technical limitations |
| gptkbp:is_compared_to |
Superintelligence.
Human intelligence. Narrow AI. |
| gptkbp:is_considered_as |
a transformative technology
strong AI |
| gptkbp:is_considered_by |
futurists
|
| gptkbp:is_considered_to_be |
have risks
have ethical implications |
| gptkbp:is_criticized_for |
potential job displacement
|
| gptkbp:is_debated_in |
gptkb:academic_circles
its implications on society Value alignment. its governance Control problem. Existential risk. Collaboration between AI and humans. Regulation. |
| gptkbp:is_different_from |
narrow AI
|
| gptkbp:is_discussed_in |
gptkb:science_fiction
gptkb:strategy policy making |
| gptkbp:is_evaluated_by |
gptkb:Turing_test
|
| gptkbp:is_expected_to |
enhance productivity
revolutionize technology create new markets impact education |
| gptkbp:is_explored_in |
gptkb:philosophy
human-computer interaction simulations interdisciplinary research AI safety research machine ethics |
| gptkbp:is_funded_by |
gptkb:governments
|
| gptkbp:is_influenced_by |
cognitive science
neuroscience |
| gptkbp:is_linked_to |
gptkb:vehicles
digital transformation data privacy issues human augmentation |
| gptkbp:is_pursued_by |
various applications
startups tech companies enhancing decision making |
| gptkbp:is_regarded_as |
a long-term goal
|
| gptkbp:is_related_to |
gptkb:machine_learning
|
| gptkbp:is_studied_for |
its potential benefits
|
| gptkbp:is_studied_in |
gptkb:computer_science
|
| gptkbp:is_subject_to |
gptkb:regulations
|
| gptkbp:is_supported_by |
gptkb:cloud_computing
open-source projects |
| gptkbp:issues |
ethics
Ethical implications. Job displacement. Control and safety. |
| gptkbp:key_figures |
Geoffrey Hinton.
Yoshua Bengio. Nick Bostrom. John Mc Carthy. Jürgen Schmidhuber. Marvin Minsky. Ray Kurzweil. Ben Goertzel. Demis Hassabis. Elon Musk. |
| gptkbp:requires |
massive data
|
| gptkbp:research_areas |
Machine learning.
Neuroscience. Philosophy of mind. Cognitive computing. |
| gptkbp:bfsParent |
gptkb:King's_Quest_VI
|
| gptkbp:bfsLayer |
5
|