Algoritmi v pravu: določanje višine odškodnine za nepremoženjsko škodo s pomočjo računalniškega programa : določanje višine odškodnine za nepremoženjsko škodo s pomočjo računalniškega programa

Piršič, Katja

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Title:	Algoritmi v pravu: določanje višine odškodnine za nepremoženjsko škodo s pomočjo računalniškega programa : določanje višine odškodnine za nepremoženjsko škodo s pomočjo računalniškega programa
Authors:	ID Piršič, Katja (Author) ID Tratnik, Matjaž (Mentor) More about this mentor... ID Weingerl, Petra (Comentor)
Files:	MAG_Pirsic_Katja_2019.pdf (912,96 KB) MD5: 283E3FBF720AD264CD6ED3CEDDC6EB19 PID: 20.500.12556/dkum/a992611c-81b8-4bbe-92c9-ec70b7ac524c
Language:	Slovenian
Work type:	Master's thesis/paper
Typology:	2.09 - Master's Thesis
Organization:	PF - Faculty of Law
Abstract:	V modernem svetu nas na vsakem koraku spremlja množica podatkov, iz katerih težko izluščimo informacije. To se v sodnih postopkih lahko odraža tudi na kognitivni preobremenjenosti sodnikov, ki se posledično postopoma začnejo oddaljevati od načela enakosti in enakega varstva pravic. V magistrskem delu zato stremim k novi rešitvi, ki bi sodnikom lahko pomagala pri obvladovanju informacij, prejetih v pravdnem postopku zaradi nastale nepremoženjske škode. Magistrsko delo prikazuje zamišljeni koncept računalniškega programa »Nepremoženjska škoda v1.0«, ki temelji na algoritmu nadzorovanega strojnega učenja in bi sodniku v civilnem postopku pomagal pri določanju višine odškodnine za nepremoženjsko škodo. Zagovarjam tezo, da bi se s tako tehnološko rešitvijo, če bi jo v postopke vpeljali nemudoma, že spoštovalo ustavne in zakonske garancije do te mere, da bi bila njena uporaba zakonita. Poleg tega bi se z zamišljenim konceptom računalniškega programa zagotovila večja pravičnost in enakopravnost oškodovancev, sodniki bi bili zaradi nje kognitivno razbremenjeni, sodni zaostanki in poraba proračunskih sredstev bi se znižala, kar bi v javnosti povrnilo oziroma utrdilo zaupanje v sodni sistem. Prav tako ocenjujem, da bi bile z uporabo navedenega programa spoštovane določbe, ki se nanašajo na varstvo osebnih podatkov. Tovrsten program še vedno ne bi mogel nadomestiti sodnika na njegovem delovnem mestu, temveč bi mu lahko služil zgolj kot pripomoček. Ker se pravosodni sistem v Sloveniji v zadnjem desetletju z namenom optimizacije in objektivizacije sodnih postopkov trudi vzpostaviti nov, posodobljen sistem informacijskih rešitev, ne vidim ovire, da omenjenega konceptualnega programa v Sloveniji tako de facto kot de iure ne bi uporabljali že sedaj.
Keywords:	Določanje višine odškodnine, nepremoženjska škoda, odškodnina, sodna praksa, osebni podatki, GDPR, načelo enakosti, avtomatizirano odločanje, algoritmi, umetna inteligenca, računalniški programi, veliko podatkovje.
Place of publishing:	[Maribor
Place of performance:	[Maribor
Publisher:	K. Piršič]
Year of publishing:	2019
Number of pages:	75 str.
PID:	20.500.12556/DKUM-75069
UDC:	347.511(043.3)
COBISS.SI-ID:	5818155
NUK URN:	URN:SI:UM:DK:9JTM3DWE
Publication date in DKUM:	17.12.2019
Views:	1945
Downloads:	341
Metadata:
Categories:	PF
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Licences

License:	CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International

Link:	http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:	The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:	19.09.2019

Secondary language

Language:	English
Title:	Algorithms in law: predicting non-pecuniary damage awards with the help of a computer program
Abstract:	In the modern world, we are inundated with data; they surround us on every step. We therefore find it hard to extract information, which can also be reflected in the cognitive overload of judges in judicial proceedings and thus they gradually begin to move away from the principle of equality and equal protection of rights. In this master's thesis, I therefore strive for new solutions that can help judges manage the information received in litigation resulting in non-pecuniary damage. The master's thesis introduces a conceptual version of a computer program "Non-pecuniary damage v1.0", based on the algorithm of controlled machine learning, which would assist the judge in civil proceedings in determining the amount of damages for non-pecuniary damage. My hypothesis is that such a technological solution, if implemented to the proceedings immediately, would have already complied with the constitutional and statutory guarantees to the extent that its use would be legal. In addition, the conceptual version of the computer program would ensure greater justice and equality for injured parties; it would cognitively relieve judges, and reduce court backlogs and state budget spending, which would in turn restore public confidence in the judicial system. I also believe that the application of the said program would respect the provisions relating to the protection of personal data; however, such programs would still not be able to replace a judge at his or her place of work and could only serve as a tool. Since the judicial system in Slovenia has been trying to establish a new, up-to-date informational solution system over the last decade, with the aim of optimizing and objectifying court proceedings, I see no obstacle for the conceptual program in Slovenia to be used de facto or de iure today.
Keywords:	Determining the amount of damages, non-pecuniary damage, damages, jurisprudence, personal data, GDPR, principle of equality, automated decision-making, algorithms, artificial intelligence, computer programs, big data.

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