onr:"swepub:oai:research.chalmers.se:9fcf01d1-612b-4f66-a4d0-66baeca3751a"
Search: onr:"swepub:oai:research.chalmers.se:9fcf01d1-612b-4f66-a4d0-66baeca3751a" > Opening the Black B...
- 1 of 1
- Previous record
- Next record
- To hitlist
| Fältnamn | Indikatorer | Metadata |
|---|---|---|
| 000 | 03191naa a2200349 4500 | |
| 001 | oai:research.chalmers.se:9fcf01d1-612b-4f66-a4d0-66baeca3751a | |
| 003 | SwePub | |
| 008 | 240819s2024 | |||||||||||000 ||eng| | |
| 024 | 7 | a https://research.chalmers.se/publication/5424372 URI |
| 024 | 7 | a https://doi.org/10.1109/CCAI61966.2024.106030172 DOI |
| 040 | a (SwePub)cth | |
| 041 | a engb eng | |
| 042 | 9 SwePub | |
| 072 | 7 | a kon2 swepub-publicationtype |
| 072 | 7 | a ref2 swepub-contenttype |
| 100 | 1 | a Garzo, Graziau Università degli Studi di Siena,University of Siena4 aut |
| 245 | 1 0 | a Opening the Black Box: How Boolean AI can Support Legal Analysis |
| 264 | 1 | c 2024 |
| 520 | a In crime scene scenarios, there are various factors to consider when determining a suspect's guilt. However, the process of extracting and assessing these factors can be time-consuming, often taking years and incurring significant legal expenses. Judges are now exploring the potential of artificial intelligence techniques and machine learning computations within the justice system. Specifically, in the realm of criminal justice, these methodologies have the potential to aid in investigations and decision-making processes. Utilizing machine learning approaches can thus expedite the bureaucratic process, potentially making it more efficient. We introduce an idea of an approach that could provide fast and explainable support in the evaluation of guilt. Our approach relies on computations based on the presence or absence of 44 features describing the crime scene. Then, by a boolean function, we determined the final verdict of the legal case (only a subset of the extracted features are relevant to evaluate the guilt prediction). To demonstrate the practicality of our proposal, we conducted experiments based on 79 road homicide cases in Italy. As a consequence, the boolean evaluation was done according to Italian law principles. With our system, we reached a 83.2 % accuracy rate in extracting features from the legal ruling texts and a 69.6% accuracy in guilt prediction. | |
| 650 | 7 | a NATURVETENSKAPx Data- och informationsvetenskapx Systemvetenskap, informationssystem och informatik0 (SwePub)102022 hsv//swe |
| 650 | 7 | a NATURAL SCIENCESx Computer and Information Sciencesx Information Systems0 (SwePub)102022 hsv//eng |
| 650 | 7 | a NATURVETENSKAPx Data- och informationsvetenskapx Datavetenskap0 (SwePub)102012 hsv//swe |
| 650 | 7 | a NATURAL SCIENCESx Computer and Information Sciencesx Computer Sciences0 (SwePub)102012 hsv//eng |
| 653 | a Boolean AI | |
| 653 | a Machine Learning | |
| 653 | a Decision Making | |
| 700 | 1 | a Ribes, Stefano,d 1992u Chalmers tekniska högskola,Chalmers University of Technology4 aut0 (Swepub:cth)ribes |
| 700 | 1 | a Palumbo, Alessandrou Université de Rennes 1,University of Rennes 14 aut |
| 710 | 2 | a Università degli Studi di Sienab Chalmers tekniska högskola4 org |
| 773 | 0 | t 2024 4th International Conference on Computer Communication and Artificial Intelligence, CCAI 2024g , s. 269-272q <269-272 |
| 856 | 4 8 | u https://research.chalmers.se/publication/542437 |
| 856 | 4 8 | u https://doi.org/10.1109/CCAI61966.2024.10603017 |
To the university's database
- 1 of 1
- Previous record
- Next record
- To hitlist
Find more in SwePub
- By the author/editor
- Garzo, Grazia
- Ribes, Stefano, ...
- Palumbo, Alessan ...
- About the subject
-
- NATURAL SCIENCES
- NATURAL SCIENCES
- and Computer and Inf ...
- and Information Syst ...
-
- NATURAL SCIENCES
- NATURAL SCIENCES
- and Computer and Inf ...
- and Computer Science ...
- Articles in the publication
- 2024 4th Interna ...
- By the university
- Chalmers University of Technology
Search outside SwePub
- Extend your search to:
- Google Book Search
- Google Scholar
Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.
- Copyright © LIBRIS - National Library Systems
- LIBRIS.kb.se
