Search results for "äly"
showing 10 items of 361 documents
Unstable feature relevance in classification tasks
2011
Hume’s Guillotine Resolved
2020
According to Hume’s guillotine, one cannot derive values from facts. Since intelligent systems are fact processors, one can ask how ethical machines can be possible. However, ethics is a real-life process. People analyze actions and situations emotionally and cognitively. Thus they learn rules, such as “this situation feels good/bad.” The cognitive analysis of actions is associated with emotional analysis. The association of action, emotion and cognition can be termed a primary ethical schema. Through an ethical information process in which emotions and cognitions interact in social discourse, primary ethical schemas are refined into ethical norms. Each component of the process is different…
Affective Mimetics, Emotional Information Space, and Metaverse
2021
Current technology design pursues applying human-like features to AI technologies. These attempts have faced many challenges due to the essential complexities of the human mind. Cognitive mimetics is a design approach to mimic human information processes in designing intelligent technologies. The focus is on mimicking cognition, human knowledge structures, and represented mental information contents which addresses a fundamental issue in technology design. However, cognition is one aspect of information processing in the human mind. Affective information processing also plays an essential role in addressing the meaningfulness of cognitive processes. This paper discusses affective mimetics (…
Interacting with intelligent agents : key issues in agent-based decision support system design
2010
On Assessing Vulnerabilities of the 5G Networks to Adversarial Examples
2022
The use of artificial intelligence and machine learning is recognized as the key enabler for 5G mobile networks which would allow service providers to tackle the network complexity and ensure security, reliability and allocation of the necessary resources to their customers in a dynamic, robust and trustworthy way. Dependability of the future generation networks on accurate and timely performance of its artificial intelligence components means that disturbance in the functionality of these components may have negative impact on the entire network. As a result, there is an increasing concern about the vulnerability of intelligent machine learning driven frameworks to adversarial effects. In …
Tekoälyn perusteita ja sovelluksia
2019
On Combining Explainable Artificial Intelligence and Interactive Multiobjective Optimization in Data-Driven Decision Support
2019
Koneoppivat järjestelmät osana organisaation strategista kehittämistä
2017
Tekoälyjärjestelmiä on tutkittu jo useiden vuosikymmenien ajan, mutta vasta lähivuosina niitä on menestyksekkäästi onnistuttu ottamaan käyttöön eri toimialoilla. Tekoäly käsitteenä on laaja ja sen rajaaminen on verrattain haastavaa. Koneoppiminen on yksi tekoälyn alakategorioista. Koneoppivalla järjestelmällä tarkoitetaan itsenäisesti toimivaa ja oppivaa tekoälyjärjestelmää. Koneoppimisen hyödyistä ja uhista on paljon keskustelua, mutta varsinaisia tutkimustuloksia liiketoiminnallisista hyödyistä ei juuri ole. Tutkielmani tarkastelee koneoppimista osana organisaation kehitysstrategiaa ja erilaisia kehitysmahdollisuuksia, joita koneoppivat järjestelmät voivat tarjota. Tarkoituksena on selvit…