Black box - Wikipedia
In systems theory, the black box is an abstraction representing a class of concrete open system which can be viewed solely in terms of its stimuli inputs and output reactions: The constitution and structure of the box are altogether irrelevant to the approach under consideration, which is purely external or phenomenological.
AI's mysterious ‘black box’ problem, explained
2023年3月6日 · This inability for us to see how deep learning systems make their decisions is known as the “black box problem,” and it’s a big deal for a couple of different reasons. First, this quality makes it difficult to fix deep learning systems when they produce unwanted outcomes.
Why We Need to See Inside AI’s Black Box - Scientific American
2023年5月26日 · For some people, the term “black box” brings to mind the recording devices in airplanes that are valuable for postmortem analyses if the unthinkable happens. For others it evokes small,...
2024年4月2日 · the so-called black box problem or black box effect from which all modern AI systems, i.e. the so-called autonomous ones, suffer. The present chapter aims at shedding light on the potential negative impact AI black box may have on human rights. At the introductory part, the concept and the
Cracking the Code: The Black Box Problem of AI
2023年7月19日 · In short, the black box problem presents a significant challenge for AI’s use in various domains. It also raises concerns around transparency, interpretability, and ethical considerations. However, researchers are actively exploring ways to address the problem through approaches such as explainable AI and machine learning techniques.
Transparency and the Black Box Problem: Why We Do Not Trust …
2021年9月1日 · This “black box problem” in AI becomes especially worrisome when coupled with outcomes that are ethically problematic, such as biased algorithms or decision models. Without an adequate understanding of how decisions are reached using DL, the criteria for trustworthiness cannot be satisfied.
What Is a Black Box Model? Definition, Uses, and Examples - Investopedia
2024年4月2日 · A black box model designed for use in the financial markets is a software program that analyses market data and produces a strategy for buying and selling based upon that analysis.
What is Black Box AI? Definition from TechTarget
Black box AI is any artificial intelligence system whose inputs and operations aren't visible to the user or another interested party. A black box, in a general sense, is an impenetrable system. Black box AI models arrive at conclusions or decisions without providing any explanations as to how they were reached.
The "Black Box Effect" in Artificial Intelligence - Immersia
2024年9月4日 · But what does the black box effect mean? This term refers to the lack of transparency or interpretability in algorithms, making it difficult or even impossible to understand why an AI system reaches certain conclusions or predictions.
The Black Box Effect in Machine Learning: the Mysteries of AI
2023年7月22日 · The Black Box Effect in Machine Learning presents a dual challenge: while complex ML models demonstrate remarkable predictive performance, their opacity raises concerns related to trust, fairness, and accountability. In critical domains, where decision-making impacts lives and livelihoods, the lack of explainability can be prohibitive.