Auflistung nach Schlagwort "artificial intelligence (AI)"
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- KonferenzbeitragExplainable and trustworthy AI compliance for farms(45. GIL-Jahrestagung, Digitale Infrastrukturen für eine nachhaltige Land-, Forst- und Ernährungswirtschaft, 2025) Kruse, Niklas; Schöning, JuliusIntegrating artificial intelligence (AI) in agriculture presents both innovative opportunities and complex challenges, particularly regarding trustworthiness and regulatory compliance. As AI technologies reach market maturity, societal apprehensions surrounding their implementation demand an urgent response. This paper proposes a platform-based approach to harmonize the scientific principles of explainable AI (XAI) with the evolving legal regulations, notably the AI Act. By providing a structured framework, the proposed platform assists developers in aligning technical parameters with compliance requirements, fostering trust in AI systems. Beyond mere regulatory adherence, the platform emphasizes the importance of addressing diverse stakeholder expectations regarding trustworthiness. It incorporates ex-ante, ex-nunc, and ex-post assessment methods to ensure that AI systems are interpretable and accountable. It concludes by outlining an innovative way forward that meets regulatory standards and builds public trust, paving the way for broader adoption and successful deployment of AI technologies on farms and underscoring the critical interplay between technology, law, and social perception in agriculture.
- KonferenzbeitragModern Project Portfolio Management– Analyzing the Potential of Artificial Intelligence(Projektmanagement und Vorgehensmodelle 2023 - Nachhaltige IT-Projekte, 2023) Pappert, Laura; Kusanke, KristinaProject portfolio selection has been the focus of many researchers over the past two decades. Current developments, such as the coronavirus pandemic, ongoing energy crisis, and recession, limit human resources and investment budgets so that not all targeted projects can be implemented. In this paper, we complement the existing discourse on project portfolio management (PPM) in the face of artificial intelligence (AI) by conducting a group discussion within a company operating in the aviation industry regarding the potential, obstacles, and expectations of the future role of AIenabled tools in their work practice. In addition, we derive a concept that can be used along the PPM process to guide the basic AI technological implementation.