The AI-Methods, Capabilities and Criticality Grid and its Value for Decision Makers, Developers and Regulators
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Lieferung aus: Österreich, Erscheint vorauss. 30. November 2020, Versandkostenfrei innerhalb von Deutschland.
AI is a wordwide mega-trends. The importance, performance and complexity of AI solutions are growing rapidly. Therefore the need to keep an overview of the relevant AI solutions, manage related priorities and risks is growing as well. The presented AI Methods. Capabilities and Criticality Grid (AI-MC2-Grid) represents a method and tool to gain this overview and manage the space of AI solu-tions. Users of the AI-MC2-Grid might be managers, developers and users of AI-solutions or investors, politicians and regulators who wants to understand, market and control certain AI-solutions. The AI-MC2-Grid consists of three dimensions: AI-methods, AI-capabilities and the Criticality of the AI-solution. Each discussed AI-solution can be placed in these three dimensions, As such similar AI-solutions can be compared. Or complex AI solutions can be analyzed by its components. AI-methods correspond to typical AI-algorithms, while AI-capabilities correspond to typical process steps to build intelligent work flows. Once the relevant AI-methods and AI-capabilities of a certain AI-solution are located performance, consequences and possible risks and alternatives can be dis-cussed. Higher the Level of Criticality of the AI solution is higher the potential of damage is estimated and therefore higher the level of tests, controls and certification are needed. For this reason the AI-MC2-Grid is a powerful method and tool to define and manage all kinds of upcoming norms and standards of AI-solutions. With this good cause the AI-MC2-Grid is at the heart of the German National Roadmap for Artificial Intelligence Norms (2), placed as a method and tool to support the development and management of future AI standards and norms in Germany. Other platforms, socie-ties and programmes have the same need and could profit from the use of the AI-MC2-Grid. In particular it is intended to facilitate fast-er and better decisions. These may be decisions by AI researchers to focus on certain areasor decisio.

Lieferung aus: Deutschland, Versandkostenfrei.
The AI-Methods, Capabilities and Criticality Grid and its Value for Decision Makers, Developers and Regulators: AI is a wordwide mega-trends. The importance, performance and complexity of AI solutions are growing rapidly. Therefore the need to keep an overview of the relevant AI solutions, manage related priorities and risks is growing as well. The presented AI Methods. Capabilities and Criticality Grid (AI-MC2-Grid) represents a method and tool to gain this overview and manage the space of AI solu-tions. Users of the AI-MC2-Grid might be managers, developers and users of AI-solutions or investors, politicians and regulators who wants to understand, market and control certain AI-solutions. The AI-MC2-Grid consists of three dimensions: AI-methods, AI-capabilities and the Criticality of the AI-solution. Each discussed AI-solution can be placed in these three dimensions, As such similar AI-solutions can be compared. Or complex AI solutions can be analyzed by its components. AI-methods correspond to typical AI-algorithms, while AI-capabilities correspond to typical process steps to build intelligent work flows. Once the relevant AI-methods and AI-capabilities of a certain AI-solution are located performance, consequences and possible risks and alternatives can be dis-cussed. Higher the Level of Criticality of the AI solution is higher the potential of damage is estimated and therefore higher the level of tests, controls and certification are needed. For this reason the AI-MC2-Grid is a powerful method and tool to define and manage all kinds of upcoming norms and standards of AI-solutions. With this good cause the AI-MC2-Grid is at the heart of the German National Roadmap for Artificial Intelligence Norms (2), placed as a method and tool to support the development and management of future AI standards and norms in Germany. Other platforms, socie-ties and programmes have the same need and could profit from the use of the AI-MC2-Grid. In particular it is intended to facilitate fast-er and better decisions. These may be decisions by AI researchers to focus on certain areas or decisio, Englisch, Taschenbuch.

Lieferung aus: Deutschland, 2-3 Werktage.
AI is a worldwide megatrend. Importance, performance and complexity of AI solutions are growing rapidly. Therefore, the need to keep an overview of the relevant AI solutions and manage related priorities and risks is growing as well. The presented AI Methods, Capabilities and Criticality Grid (AI-MC2-Grid) represents a method and tool to gain this overview and manage the space of AI solutions. Users of the AI-MC2-Grid might be managers, developers and users of AI-solutions or investors, politicians and regulators who wants to understand market and control certain AI-solutions. The AI-MC2-Grid consists of three dimensions: AI methods, AI capabilities and the criticality of an AI solution. Each discussed AI solution can be placed in these three dimensions, as such, similar AI solutions can be compared. Alternatively, complex AI solutions can be analysed by its components. AI methods correspond to typical AI algorithms, while AI capabilities correspond to typical process steps to build intelligent workflows. Once the relevant AI methods and AI capabilities of a certain AI solution are located, performance, consequences and possible risks and alternatives can be discussed. Based on the classification, the damage potential of Artificial Intelligence is representing a certain level of criticality. In this course, a growing level of criticality increases the stringency of requirements concerning tests, calibration, inspection, control and certification. For this reason, the AI-MC2-Grid is a powerful method and tool to define and manage all kinds of upcoming norms and standards of AI solutions.With this good cause, the AI-MC2-Grid is at the heart of the German National Roadmap for Artificial Intelligence Norms, placed as a method and tool to support the development and management of future AI standards and norms in Germany. Other platforms, societies and programmes have the same need and could profit from the use of the AI-MC2-Grid. In particular, it is intended to facili von Schmid, Thomas und Hildesheim, Wolfgang und Holoyad, Taras und Schumacher, Kinga, Neu.