Machine Learning bedeutet: Teilbereich der KI, bei dem Systeme aus Daten lernen ohne explizit programmiert zu werden. Das ist wichtig, weil KI-Systeme heute überall eingesetzt werden und Regeln brauchen, damit sie sicher und fair funktionieren.
Teilbereich der KI, bei dem Systeme aus Daten lernen ohne explizit programmiert zu werden. [EC Ethics Guidelines] several approaches and techniques, such as machine learning (of which deep learning and reinforcement learning are specific examples), machine reasoning (which includes planning, scheduling, knowledge representation and reasoning, search, and optimization), and robotics (which includes control, perc [EC Ethics Guidelines] necessary but not sufficient to achieve Trustworthy AI. Ideally, all three components work in harmony and overlap in their operation. Where tensions arise, we should endeavour to align them. In Chapter I, we articulated the fundamental rights and a corresponding set of ethical principles that are cr [EC Ethics Guidelines] in AI is needed to uphold the autonomy of European citizens. Clearly defining if, when and how AI can be used for automated identification of individuals and differentiating between the identification of an individual vs the tracing and tracking of an individual, https://ec.europa.eu/digita l-single
Teilbereich der KI, bei dem Systeme aus Daten lernen ohne explizit programmiert zu werden.
Verwandte Konzepte: Foundation Model, Bias, Federated Learning, Inference.
Zitierung
"Machine Learning." Open Cognition Commons Foundation. https://opencognitioncommons.org/glossar/machine-learning. CC-BY 4.0. Maschinenlesbare Metadaten
{
"@context": "https://schema.org",
"@type": "DefinedTerm",
"name": "Machine Learning",
"description": "Teilbereich der KI, bei dem Systeme aus Daten lernen ohne explizit programmiert zu werden.\n",
"url": "https://opencognitioncommons.org/glossar/machine-learning",
"license": "https://creativecommons.org/licenses/by/4.0/",
"alternateName": [
"ML",
"Machine Learning",
"Maschinelles Lernen"
]
}