Search results for "äly"
showing 10 items of 361 documents
Digitalisaation vaikutukset kaupunkisuunnittelussa
2018
Tämä kandidaatintutkielma on tutkimus digitalisaation vaikutuksesta kau-punkisuunnitteluun. Tutkimus on tehty kirjallisuuskatsauksena, jossa tarkastellaan ensin digitalisaatiota terminologisesti ja ilmiötasolla. Digitalisaatio on käsitteenä vielä suhteellisen uusi ja vakiintumaton, joten siitä on pyritty eri lähteiden ja kontekstien avulla saamaan kattava kuva ja käsitys informaatioteknologisena tekijänä ja ilmiönä. Digitalisaatio liittyy käsillä olevaan valtavaan tiedon määrän kasvuun, jota on vaikea jäsentää ja analysoida. Tätä tietoa voidaan kutsua massadataksi. Kaupunkisuunnittelu puolestaan on yhteiskunnallisesti säännelty ja tarkasteltu tekijä, joka on kaupunkien kehitystä määräävä ja…
Feature selection for distance-based regression: An umbrella review and a one-shot wrapper
2023
Feature selection (FS) may improve the performance, cost-efficiency, and understandability of supervised machine learning models. In this paper, FS for the recently introduced distance-based supervised machine learning model is considered for regression problems. The study is contextualized by first providing an umbrella review (review of reviews) of recent development in the research field. We then propose a saliency-based one-shot wrapper algorithm for FS, which is called MAS-FS. The algorithm is compared with a set of other popular FS algorithms, using a versatile set of simulated and benchmark datasets. Finally, experimental results underline the usefulness of FS for regression, confirm…
Strategic cyber threat intelligence : Building the situational picture with emerging technologies
2020
In 2019, e-criminals adopted new tactics to demand enormous ransoms from large organizations by using ransomware, a phenomenon known as “big game hunting.” Big game hunting is an excellent example of a sophisticated and coordinated modern cyber-attack that has a significant impact on the target. Cyber threat intelligence (CTI) increases the possibilities to detect and prevent cyber-attacks and gives defenders more time to act. CTI is a combination of incident response and traditional intelligence. Intelligence modifies raw data into information for decision-making and action. CTI consists of strategic, operational, or tactical intelligence on cyber threats. Security event monitoring, event-…
The Current State of Industrial Practice in Artificial Intelligence Ethics
2020
As Artificial Intelligence (AI) systems become increasingly widespread, we have begun to witness various failures highlighting issues in these systems. These incidents have sparked public discussion related to AI ethics and further accelerated the on-going academic discussion in the area. High-level guidelines and tools for managing AI ethics have been introduced to help industry organizations make more ethical AI systems, but we currently know little about the state of industrial practice. Have these guidelines been adopted by the software industry for developing AI solutions? Are these failures that make the news just the tip of the iceberg? We provide insights into the current state of p…
Ethics of Artificial Intelligence : Research Challenges and Potential Solutions
2020
Artificial Intelligence (AI) is a rapidly emerging paradigm with many applications in healthcare, industries, and smart cities. However, this rise of global interest in AI has fueled a renewed interest from the public sector and global policymakers. As AI networks (e.g., chatbots, automation systems, and helping agents) are paving their way as interactive household items, a critically important research issue is understanding the ethical impact of these autonomous agents. What is the explanation of the AI decision-making process? What are the legal, societal, and moral consequences of these decisions and actions? Should these AI systems be allowed to make decisions for human beings and to w…
Ethical User stories : Industrial study
2022
Publisher Copyright: © 2022 Copyright for this paper by its authors In Port terminals a progressive change is underway in digitalizing traditional systems to SMART systems with the aid of AI. This study follows one of such progressions, the SMARTER project. SMARTER is a sub research and development project of the Sea for Value program of DIMECC company, Finland to create replicable models for digitalization for future terminals which involves the use of AI enabled tools. AI and Autonomous Systems (AS) are the direction that software systems are taking today. But due to ethical challenges involved in the use of AI systems and increased emphasis on ethical practices in the use and design of A…
Countering Adversarial Inference Evasion Attacks Towards ML-Based Smart Lock in Cyber-Physical System Context
2021
Machine Learning (ML) has been taking significant evolutionary steps and provided sophisticated means in developing novel and smart, up-to-date applications. However, the development has also brought new types of hazards into the daylight that can have even destructive consequences required to be addressed. Evasion attacks are among the most utilized attacks that can be generated in adversarial settings during the system operation. In assumption, ML environment is benign, but in reality, perpetrators may exploit vulnerabilities to conduct these gradient-free or gradient-based malicious adversarial inference attacks towards cyber-physical systems (CPS), such as smart buildings. Evasion attac…
Implementing Ethics in AI: Initial Results of an Industrial Multiple Case Study
2019
Artificial intelligence (AI) is becoming increasingly widespread in system development endeavors. As AI systems affect various stakeholders due to their unique nature, the growing influence of these systems calls for ethical considerations. Academic discussion and practical examples of autonomous system failures have highlighted the need for implementing ethics in software development. However, research on methods and tools for implementing ethics into AI system design and development in practice is still lacking. This paper begins to address this focal problem by providing elements needed for producing a baseline for ethics in AI based software development. We do so by means of an industri…
Ethically Aligned Design of Autonomous Systems : Industry Viewpoint and an Empirical Study
2019
Progress in the field of Artificial Intelligence (AI) has been accelerating rapidly in the past two decades. Various autonomous systems from purely digital ones to autonomous vehicles are being developed and deployed out on the field. As these systems exert a growing impact on society, ethics in relation to artificial intelligence and autonomous systems have recently seen growing attention among academia. However, the current literature on the topic has focused largely on theoretical contributions, and there is a gap between research and practice in the area. Though this gap has been acknowledged in existing studies, the exact issues resulting in this gap remain blurred. In order to better …
Implementing AI Ethics: Making Sense of the Ethical Requirements
2023
Society’s increasing dependence on Artificial Intelligence (AI) and AI-enabled systems require a more practical approach from software engineering (SE) executives in middle and higher-level management to improve their involvement in implementing AI ethics by making ethical requirements part of their management practices. However, research indicates that most work on implementing ethical requirements in SE management primarily focuses on technical development, with scarce findings for middle and higher-level management. We investigate this by interviewing ten Finnish SE executives in middle and higher-level management to examine how they consider and implement ethical requirements. We use et…