首页|Findings on Artificial Intelligence Discussed by Investigators at University of Western Australia (Defining Intelligence: Bridging the Gap Between Human and Art ificial Perspectives)
Findings on Artificial Intelligence Discussed by Investigators at University of Western Australia (Defining Intelligence: Bridging the Gap Between Human and Art ificial Perspectives)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Data detailed on Artificial Intelligen ce have been presented. According to news reporting from Perth, Australia, by Ne wsRx journalists, research stated, "Achieving a widely accepted definition of hu man intelligence has been challenging, a situation mirrored by the diverse defin itions of artificial intelligence in computer science. By critically examining p ublished definitions, highlighting both consistencies and inconsistencies, this paper proposes a refined nomenclature that harmonizes conceptualizations across the two disciplines." The news correspondents obtained a quote from the research from the University o f Western Australia, "Abstract and operational definitions for human and artific ial intelligence are proposed that emphasize maximal capacity for completing nov el goals successfully through respective perceptual-cognitive and computational processes. Additionally, support for considering intelligence, both human and ar tificial, as consistent with a multidimensional model of capabilities is provide d. The implications of current practices in artificial intelligence training and testing are also described, as they can be expected to lead to artificial achie vement or expertise rather than artificial intelligence. Paralleling psychometri cs, ‘AI metrics' is suggested as a needed computer science discipline that ackno wledges the importance of test reliability and validity, as well as standardized measurement procedures in artificial system evaluations. Drawing parallels with human general intelligence, artificial general intelligence (AGI) is described as a reflection of the shared variance in artificial system performances. We con clude that current evidence more greatly supports the observation of artificial achievement and expertise over artificial intelligence."
PerthAustraliaAustralia and New Zeal andArtificial IntelligenceEmerging TechnologiesMachine LearningUniversit y of Western Australia
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