Generative AI: Here to stay, but for good?

Sætra, Henrik Skaug

doi:10.2139/ssrn.4315686

Cited by 4 publications

(2 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…disinformation policy, manipulation, including unfair competitive struggle), on individual market sectors or groups of organizations (meso levelthe takeover of human-created content within individual market sectors while marginalizing the role of the original creators), and on individual market actors considered on an individual basis (micro levele.g. cognitive atrophy) (Saetra, 2022). This is influenced by both the characteristics of the technology (e.g., the convenience of use; the intuitiveness of solutions based on it; the security, including the security of data; the pleasure felt in using it), the characteristics of people using it (e.g., demographic characteristics, openness to the technology, subjective sense of effectiveness or perceived benefits, behavioral inertia), and situational factors directly accompanying the knowledge management and decision-making process.…”

Section: Knowledge Management With Generative Aimentioning

confidence: 99%

See 1 more Smart Citation

Generative AI as source of change of knowledge management paradigm

Kaczorowska-Spychalska,

Kotula,

Mazurek

et al. 2024

View full text Add to dashboard Cite

The launch of ChatGPT in November 2022 revolutionized the accessibility of generative Artificial Intelligence, enabling conversational interactions. Extensively tested by millions, its influence on management has become a subject of debate. In the digital revolution, generative Artificial Intelligence possesses transformative potential, automates tasks, delivers novel goods and services, and generates valuable insights. However, challenges such as data quality, human oversight, and ethical considerations arise in the context of digital transformation. This research employs qualitative research methods to examine the current understanding of generative Artificial Intelligence and predict its influence on the knowledge management within organizations. By conducting a survey among industry experts, this paper aims to provide valuable insights into the integration of generative Artificial Intelligence and its implications for the knowledge management paradigm.

show abstract

Section: Knowledge Management With Generative Aimentioning

confidence: 99%

“…More recently, it has also been granted copyright for its own soundtracks (Hewahi et al, 2019). In doing so, it can generate material with a highly realistic and consistent character (Saetra, 2022). Because of this, generative AI is an effective tool for businesses aiming to develop fresh, cutting-edge goods and services.…”

Section: Introductionmentioning

confidence: 99%

Generative AI as source of change of knowledge management paradigm

Kaczorowska-Spychalska,

Kotula,

Mazurek

et al. 2024

View full text Add to dashboard Cite

show abstract

Risk Management for Artificial General Intelligence by Limited Liability Companies

Okuno,

Okuno

2024

Lecture Notes in Networks and Systems

View full text Add to dashboard Cite

Engaging the many-hands problem of generative-AI outputs: a framework for attributing credit

Khosrowi,

Finn,

Clark

2024

AI Ethics

View full text Add to dashboard Cite

The recent wave of generative AI (GenAI) systems like Stable Diffusion or ChatGPT that can produce images, text and code from human prompts raises controversial issues about creatorship, originality, creativity and copyright. This paper focuses on creatorship: who creates and should be credited with the outputs made with the help of GenAI? There is currently significant moral, legal and regulatory uncertainty around these questions. We develop a novel framework, called CCC (collective-centered creation), that helps resolve this uncertainty. According to CCC, GenAI outputs are created by collectives in the first instance. Claims to creatorship come in degrees and depend on the nature and significance of individual contributions made by the various agents and entities involved, including users, GenAI systems, developers, producers of training data and others. We demonstrate how CCC can help navigate a range of ongoing controversies around the responsible development and deployment of GenAI technologies and help more accurately attribute credit where it is due.

show abstract

Generative AI: Here to stay, but for good?

Cited by 4 publications

References 15 publications

Generative AI as source of change of knowledge management paradigm

Generative AI as source of change of knowledge management paradigm

Risk Management for Artificial General Intelligence by Limited Liability Companies

Engaging the many-hands problem of generative-AI outputs: a framework for attributing credit

Contact Info

Product

Resources

About