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Explainable artificial intelligence encompasses methods and design approaches aimed at making the decisions, decision-making processes, and behavioral patterns produced by artificial intelligence and machine learning systems understandable and justifiable to humans. The emergence of this field has accelerated significantly due to the widespread adoption of high-accuracy models such as deep learning, whose internal workings remain opaque. The need for explainability arises from the recognition th

Measure What Matters (original English title: Measure What Matters: How Google, Bono, and the Gates Foundation Rock the World with OKRs) is a business book written by John Doerr, a venture capitalist from Silicon Valley, and first published in 2018. It explains the OKRs (Objectives and Key Results) framework as a tool for goal setting and management. The book details with examples how OKRs work, what they are, and how they have been implemented across diverse organizations ranging from Intel to

The Convention on Registration of Objects Launched into Outer Space, commonly known as the Registration Convention, was designed to promote transparency in space activities, enhance the traceability of space objects, and encourage international cooperation in space law. Adopted by the United Nations in 1974 and entering into force in 1976, the convention mandates the registration of objects launched into outer space in both national and international registries, contributing to the orderly condu

We all know that ice is transparent; a few ice cubes in a glass appear as clear as water. Yet when the same water freezes and falls from the sky as snow, why does it transform into a brilliant white blanket? The answer to this question lies not in the differences between water’s physical states, but in how it interacts with light.The Visible Effect of Invisible LightSunlight is not merely composed of the colors we can see with our eyes. Many wavelengths invisible to the human eye are also embedd

Northern Glass Frog (Hyalinobatrachium fleischmanni) is a small amphibian belonging to the Centrolenidae family, particularly known for the semi-transparency of its ventral region. This characteristic allows its internal organs, such as the heart, liver, and digestive system to be observed externally. This morphological adaptation has made it a valuable model organism for scientific studies and has positioned the species as visually distinct. Often referred to as "glass frog" in English literatu

Explainable Artificial Intelligence (XAI) is a set of methods and techniques aimed at making the results and decisions produced by artificial intelligence (AI) systems understandable and interpretable by humans. In the case of complex algorithms such as deep learning, the decision-making processes of AI systems are often described as a "black box". When these systems receive an input and produce an output, they do not clearly show an external observer how they arrived at that conclusion. XAI aim

Data ethics is defined as the comprehensive set of ethical principles, norms, and practices governing the collection, storage, processing, sharing, and use of data. This field encompasses not only the regulation of technical processes but also socially and individually accepted approaches regarding the purposes, boundaries, and responsibilities under which data are evaluated.Today, with the acceleration of digitalization, companies, public institutions, and individuals are producing and processi

Crisis Communication addresses the communication strategies used to inform and guide individuals, communities, or organizations during a crisis. It aims to mitigate the impact of unexpected events, maintain trust, and regain control over the situation. Communication efforts serve as a fundamental tool in fields such as public relations and crisis management to develop an effective response. Crisis communication consists of three stages.(Generated by artificial intelligence.)" image-alternate=""