Search results for " intelligence"
showing 10 items of 6677 documents
Utilizing User Stories to Bring AI Ethics into Practice in Software Engineering
2022
AI ethics is a research area characterized by a prominent gap between research and practice. With most studies in the area being conceptual in nature or focused on technical ML (Machine Learning) solutions, the link between AI (Artificial Intelligence) ethics and SE (Software Engineering) practice remains thin. Establishing this link, we argue, is vital going forward. While conceptual discussion is required to define AI ethics, much progress has already been made in this regard. Similarly, though technical ML solutions are also required for practical implementation, ML systems are ultimately still software, and thus SE cannot be forgotten. In this paper, we propose one way of bringing AI et…
The Role of Explainable AI in the Research Field of AI Ethics
2023
Ethics of Artiicial Intelligence (AI) is a growing research ield that has emerged in response to the challenges related to AI. Transparency poses a key challenge for implementing AI ethics in practice. One solution to transparency issues is AI systems that can explain their decisions. Explainable AI (XAI) refers to AI systems that are interpretable or understandable to humans. The research ields of AI ethics and XAI lack a common framework and conceptualization. There is no clarity of the ield’s depth and versatility. A systematic approach to understanding the corpus is needed. A systematic review ofers an opportunity to detect research gaps and focus points. This paper presents the results…
Human-centricity in AI governance : A systemic approach
2023
Human-centricity is considered a central aspect in the development and governance of artificial intelligence (AI). Various strategies and guidelines highlight the concept as a key goal. However, we argue that current uses of Human-Centered AI (HCAI) in policy documents and AI strategies risk downplaying promises of creating desirable, emancipatory technology that promotes human wellbeing and the common good. Firstly, HCAI, as it appears in policy discourses, is the result of aiming to adapt the concept of human-centered design (HCD) to the public governance context of AI but without proper reflection on how it should be reformed to suit the new task environment. Second, the concept is mainl…
Liiketoimintatiedon hallinnan soveltuvuus urheiluorganisaation käyttöön : case AKK Sports Oy
2016
Nykyisessä tietoyhteiskunnassa johtamisen roolin tulisi perustua aiempaa enemmän liiketoimintatietoon, joka on systemaattisempaa ja ennakoivampaa kuin ennen. Tietotarpeiden määrittäminen ja tunnistaminen toimii lähtökohta- na tiedolla johtamisen prosesseissa ja tehokkaan liiketoimintatiedon hallinnan hyödyntämisessä. Liiketoimintatiedon hallinta on toimintaa, jonka avulla orga- nisaatio kerää, analysoi, jakaa ja hyödyntää oman toimintansa kannalta merkit- tävää liiketoimintatietoa. Kypsyysmallien tarkoitus on tuottaa organisaatiosta analyyttinen arviointi, joka toimii tukipilarina organisaation kehittymisproses- sissa. Kypsyysmalleja käytetään kuvaamaan, selittämään ja arvioimaan organi- sa…
A heuristic algorithm for project scheduling with splitting allowed
1996
In this article, we analyze the precedence diagramming method, the only published algorithm for time-only project scheduling with activity splitting allowed. The criteria used in this method (forward and backward pass computations) for deciding when an activity has to be interrupted are shown to be invalid in some situations. We look into the causes of these failures and propose new formulae that always provide feasible solutions. The new algorithm has been tested on 240 randomly generated problems ranging up to 600 activities and 7,200 precedence relationships, resulting in an average deviation from optima of less than 1 percent.
Muzikālās inteliģences iekļaušanas pazīmes ikdienas mācībās 6.-9. klasēs
2018
Lai iegūt augstākas atzīmes un būt sekmīgi skolā var but grūti skolniekiem. Šijā pētiumā mērķis ir parādīt, vai un kā mūzikas inteliģenci var izmantot studenta ikdienas grafikā, lai palīdzētu viņiem sasniegt augstākas atzīmes visos studiju kursos. Tad salidzināt ar skolniekiem kuri nav iesaistīti mūzikā. Strādājot kopā grupās un pielietojot šīs inteliģences ko studenti mācās mūzikas kursos, mācīšan var kļūt vieglāka studentiem visos pirekšmetos. Viņi stimulē un izmanto savas smadzenes biežāk nekā studenti, kas nav muzikanti, tādējādi atvieglojot mācību stundu saturu. Šajā pētījumā studentu atzīmes salīdzin visos kursos pierādot ka tie studenti, kuri aktīvi iesaistās mūzikā, saņem augstākas …
Machine Learning approach towards real time assessment of hand-arm vibration risk
2021
In industry 4,0, the establishment of an interconnected environment where human operators cooperate with the machines offers the opportunity for substantially improving the ergonomics and safety conditions of the workplace. This topic is discussed in the paper referring to the vibration risk, which is a well-known cause of work-related pathologies. A wearable device has been developed to collect vibration data and to segment the signals obtained in time windows. A machine learning classifier is then proposed to recognize the worker’s activity and to evaluate the exposure to vibration risks. The experimental results demonstrate the feasibility and effectiveness of the methodology proposed.
Accommodative Stimulus-Response Curve with Emoji Symbols
2017
Purpose. To evaluate the static measurement of the accommodative stimulus-response curve with emoji symbols. Methods. The accommodative stimulus-response curve was measured in 18 subjects using a Hartmann-Shack sensor to obtain the objective accommodative response from the Zernike defocus term. Measurements were acquired at different accommodative demands, from 0 to 3 D with a step of 0.5 D. Detailed and nondetailed emoji targets were used with two different sizes, corresponding to the two most common visual angles used in smartphones. Results. A regression analysis was performed to fit the mean results obtained for each target. The determination coefficient was R2≥0.988 for all targets. Fo…
A comparison among different techniques for human ERG signals processing and classification
2014
A comparison among different techniques for human ERG signals processing and classification ( Articles not published yet, but available online Article in press About articles in press (opens in a new window) ) Barraco, R.a, Persano Adorno, D.a , Brai, M.a, Tranchina, L.b a Dipartimento di Fisica e Chimica, Università di Palermo and CNISM, Viale delle Scienze, Ed. 18, I-90128 Palermo, Italy b Laboratorio di Fisica e Tecnologie Relative - UniNetLab, Università di Palermo, Viale delle Scienze, Ed. 18, I-90128 Palermo, Italy Abstract Feature detection in biomedical signals is crucial for deepening our knowledge about the involved physiological processes. To achieve this aim, many analytic appro…
Semantic structures of timbre emerging from social and acoustic descriptions of music
2011
The perceptual attributes of timbre have inspired a considerable amount of multidisciplinary research, but because of the complexity of the phenomena, the approach has traditionally been confined to laboratory conditions, much to the detriment of its ecological validity. In this study, we present a purely bottom-up approach for mapping the concepts that emerge from sound qualities. A social media ( http://www.last.fm ) is used to obtain a wide sample of verbal descriptions of music (in the form of tags) that go beyond the commonly studied concept of genre, and from this the underlying semantic structure of this sample is extracted. The structure that is thereby obtained is then evaluated th…