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pages/Omnivore___18-09-2023___Generative AI - Business & Information Systems Engineering.md
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full-title:: [Generative AI | Business & Information Systems Engineering](https://omnivore.app/me/https-link-springer-com-article-10-1007-s-12599-023-00834-7-18aa8d59165)
site:: [SpringerLink](https://link.springer.com/article/10.1007/s12599-023-00834-7)
author:: Zschech, Patrick
labels:: [[ResearchPaper]]
date-saved:: [[18-09-2023]]
source:: [[Omnivore]]
state:: [[reading]]
- collapsed:: true
* ### Highlights
collapsed:: true
- > For a long time in history, it has been the prevailing assumption that artistic, creative tasks such as writing poems, creating software, designing fashion, and composing songs could only be performed by humans. [⤴️](https://omnivore.app/me/https-link-springer-com-article-10-1007-s-12599-023-00834-7-18aa8d59165#9ec98df9-6e0d-4176-83aa-4f1894d7f3db)
- > new content [⤴️](https://omnivore.app/me/https-link-springer-com-article-10-1007-s-12599-023-00834-7-18aa8d59165#67e95104-1d4c-4872-8e7e-3694528a6027)
note:: Is it really new?
- id:: 65c8d469-6d8e-4174-8cb4-217bde49ddbb
> _generative AI_ refers to computational techniques that are capable of generating seemingly new, meaningful content such as text, images, or audio from training data. [⤴️](https://omnivore.app/me/https-link-springer-com-article-10-1007-s-12599-023-00834-7-18aa8d59165#6161fc20-2889-4f70-8551-57e0459a0444)
- > Industry reports suggest that generative AI could raise global gross domestic product (GDP) by 7% and replace 300 million jobs of knowledge workers (Goldman Sachs [2023](https://link.springer.com/article/10.1007/s12599-023-00834-7#ref-CR44 "Goldman Sachs (2023) Generative AI could raise global GDP by 7%.
https://www.goldmansachs.com/insights/pages/generative-ai-could-raise-global-gdp-by-7-percent.html
> ")). [⤴️](https://omnivore.app/me/https-link-springer-com-article-10-1007-s-12599-023-00834-7-18aa8d59165#548f505f-7b04-468a-a7fa-ea3c6827226e)
- > challenges and risks that we need to tackle and manage to steer the technology and its use in a responsible and sustainable direction. [⤴️](https://omnivore.app/me/https-link-springer-com-article-10-1007-s-12599-023-00834-7-18aa8d59165#2429ae5b-abad-477f-9433-3a779a389cb0)
note:: #star
- > In contrast to that, generative modeling aims to infer some actual data distribution. [⤴️](https://omnivore.app/me/https-link-springer-com-article-10-1007-s-12599-023-00834-7-18aa8d59165#85085d6e-4c8c-4254-b1c9-70b64f49a7f9)
- > _generative AI model_ refers to generative modeling that is instantiated with a machine learning architecture (e.g., a deep neural network) and, therefore, can create new data samples based on learned patterns. [⤴️](https://omnivore.app/me/https-link-springer-com-article-10-1007-s-12599-023-00834-7-18aa8d59165#3d7e385b-7eb4-49f2-9276-bd2bced52b12)