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The AI Conundrum : Examining the Imp...

Rafu, Kuhle,

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The AI Conundrum : Examining the Impact of Artificial Intelligence on Copyright /

Record Type:	Electronic resources : Monograph/item
Title/Author:	The AI Conundrum : Examining the Impact of Artificial Intelligence on Copyright // Kuhle Rafu.
Author:	Rafu, Kuhle,
Description:	1 electronic resource (62 pages)
Notes:	Source: Masters Abstracts International, Volume: 86-10.
Contained By:	Masters Abstracts International86-10.
Subject:	Intellectual property. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31901345
ISBN:	9798311914710

The AI Conundrum : Examining the Impact of Artificial Intelligence on Copyright /
Rafu, Kuhle,

The AI Conundrum : Examining the Impact of Artificial Intelligence on Copyright /Kuhle Rafu. - 1 electronic resource (62 pages)

Source: Masters Abstracts International, Volume: 86-10.

1.1 Background to the studyDean and Dyer argue that the fundamental idea behind copyright is to grant the holder the satisfaction to gain from the protected work financially or otherwise, thereby motivating further innovation and creativity to create new works or improve existing ones as long as the copyrighted duration pertains. Humans have always contributed to such advances, as intelligence has traditionally been viewed as a uniquely human trait.However, in recent times, the circumstances are changing, robots are gaining intelligence and machines with similar skills to humans are becoming more common. The field of generative Artificial Intelligence (AI) has emerged with recent advances producing systems that mimic human productions in terms of text, images, and software.Examples of these systems include ChatGPT, a Large Language Model (LLM) which can produce a text so coherent that it is frequently mistaken for human-written text, and image creation tools such as DALL-E, which can produce images in response to word prompts. Introduced by OpenAI in November 2022, ChatGPT is an AI Chabot that may be the first of its kind to be made available to the general public. It is functional, human-like, and appears to be intuitive and has mostly been welcomed by the general public since its launch.However, there are reservations when it comes to these systems, as they seem to be threatening intellectual property (IP), specifically copyright. These relate to the works these systems create which produce content which is perceived as content suitable for copyright protection, resulting in the shift in current literature to focus on detangling three major questions which are:i. whether AI generated works qualify for copyright protection;ii. in the event that the answer is in the affirmative, the consideration of who the author of those works is; andiii. a discussion of how AI might affect the originality requirement through its creative capabilities.The most prevailing question then centres on ownership of such newly generated works and the infringement of existing rights, as existing copyrighted work is used in training an AI model. The answering of these questions requires an assessment of the relevant definitions as contained in the respective copyright legislation. For example, the South African Copyright Act 98 of 1978 states that a copyright subsists in a work provided that it is original and exists in material form.This study seeks to address the issue at hand by not only examining the impact that AI has on existing copyrights, but also providing viable solutions, as interest in these machines grows by the day.1.2 Problem statementThe current copyright regulatory framework is founded on a human-centred paradigm in that it spells out humans as the true custodians of copyright, who are eligible to produce works that satisfy the fundamental requirements for copyright subsistence, which relate to authorship and originality respectively. Chaudhary argues in this regard that:The notion of human beings granted copyright, or other intellectual property right centres around the traditional approach, and all the current laws accordingly drafted.However, with the evolution of our world, non-human beings are producing original works, and this makes the notion of 'authorship' and 'copyright ownership' more complicated.

English

ISBN: 9798311914710Subjects--Topical Terms:

572975
Intellectual property.

The AI Conundrum : Examining the Impact of Artificial Intelligence on Copyright /
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500 $a Advisors: Rostoll, Maria Elizabeth.
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520 $a 1.1 Background to the studyDean and Dyer argue that the fundamental idea behind copyright is to grant the holder the satisfaction to gain from the protected work financially or otherwise, thereby motivating further innovation and creativity to create new works or improve existing ones as long as the copyrighted duration pertains. Humans have always contributed to such advances, as intelligence has traditionally been viewed as a uniquely human trait.However, in recent times, the circumstances are changing, robots are gaining intelligence and machines with similar skills to humans are becoming more common. The field of generative Artificial Intelligence (AI) has emerged with recent advances producing systems that mimic human productions in terms of text, images, and software.Examples of these systems include ChatGPT, a Large Language Model (LLM) which can produce a text so coherent that it is frequently mistaken for human-written text, and image creation tools such as DALL-E, which can produce images in response to word prompts. Introduced by OpenAI in November 2022, ChatGPT is an AI Chabot that may be the first of its kind to be made available to the general public. It is functional, human-like, and appears to be intuitive and has mostly been welcomed by the general public since its launch.However, there are reservations when it comes to these systems, as they seem to be threatening intellectual property (IP), specifically copyright. These relate to the works these systems create which produce content which is perceived as content suitable for copyright protection, resulting in the shift in current literature to focus on detangling three major questions which are:i. whether AI generated works qualify for copyright protection;ii. in the event that the answer is in the affirmative, the consideration of who the author of those works is; andiii. a discussion of how AI might affect the originality requirement through its creative capabilities.The most prevailing question then centres on ownership of such newly generated works and the infringement of existing rights, as existing copyrighted work is used in training an AI model. The answering of these questions requires an assessment of the relevant definitions as contained in the respective copyright legislation. For example, the South African Copyright Act 98 of 1978 states that a copyright subsists in a work provided that it is original and exists in material form.This study seeks to address the issue at hand by not only examining the impact that AI has on existing copyrights, but also providing viable solutions, as interest in these machines grows by the day.1.2 Problem statementThe current copyright regulatory framework is founded on a human-centred paradigm in that it spells out humans as the true custodians of copyright, who are eligible to produce works that satisfy the fundamental requirements for copyright subsistence, which relate to authorship and originality respectively. Chaudhary argues in this regard that:The notion of human beings granted copyright, or other intellectual property right centres around the traditional approach, and all the current laws accordingly drafted.However, with the evolution of our world, non-human beings are producing original works, and this makes the notion of 'authorship' and 'copyright ownership' more complicated.
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650 4 $a Brain research. $3 3561789
650 4 $a Neural networks. $3 677449
650 4 $a Authorship. $3 529425
650 4 $a Legislation. $3 766385
650 4 $a Creativity. $3 605632
650 4 $a Source materials. $3 3702006
650 4 $a State laws. $3 3562915
650 4 $a Chatbots. $3 3705435
650 4 $a Cognition & reasoning. $3 3556293
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710 2 $a University of Johannesburg (South Africa). $e degree granting institution. $3 3759059
720 1 $a Rostoll, Maria Elizabeth $e degree supervisor.
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