Javascript must be enabled to continue!
The AI Transformation Risk Model: Solutions where Benefits Outweigh Risks
View through CrossRef
This paper summarizes the most cogent and recently-cited advantages and risks associated with Artificial Intelligence from an in-depth review of the literature. Then the authors synthesize the salient risk-related models currently being used in AI, technology andbusiness-related scenarios. Lastly,in view of the most pressing issues and updated context of AI along with theories and models reviewed, the writers proposea new framework called “The AI Transformation Risk Model”to address the increasing fears and levels of risk. Using the model characteristics as a backdrop, the article emphasizes innovative solutions where benefits outweigh risks.
Academy & Industry Research Collaboration Center
Title: The AI Transformation Risk Model: Solutions where Benefits Outweigh Risks
Description:
This paper summarizes the most cogent and recently-cited advantages and risks associated with Artificial Intelligence from an in-depth review of the literature.
Then the authors synthesize the salient risk-related models currently being used in AI, technology andbusiness-related scenarios.
Lastly,in view of the most pressing issues and updated context of AI along with theories and models reviewed, the writers proposea new framework called “The AI Transformation Risk Model”to address the increasing fears and levels of risk.
Using the model characteristics as a backdrop, the article emphasizes innovative solutions where benefits outweigh risks.
Related Results
Analisis Risiko Lingkungan dan Ekonomi dalam Manajemen Proyek Pembangunan Akses Jalan Bandara Internasional Dhoho Kediri
Analisis Risiko Lingkungan dan Ekonomi dalam Manajemen Proyek Pembangunan Akses Jalan Bandara Internasional Dhoho Kediri
This study aims to analyze the environmental and economic risks in the construction project of the access road to Dhoho Kediri International Airport. The main focus of this study i...
Analisis Risiko Operasional Pada Proses Pembuatan Kerupuk Udang Sanah Kabupaten Tanjung Jabung Barat
Analisis Risiko Operasional Pada Proses Pembuatan Kerupuk Udang Sanah Kabupaten Tanjung Jabung Barat
The importance of knowledge about operational risks for umkm partners in order to be able to control or handle the risks that must be handled and be able to solve the problems bein...
Abstract OI-1: OI-1 Decoding breast cancer predisposition genes
Abstract OI-1: OI-1 Decoding breast cancer predisposition genes
Abstract
Women with one or more first-degree female relatives with a history of breast cancer have a two-fold increased risk of developing breast cancer. This risk i...
CONTROL ALGORITHMS RISKS IN IT PROJECTS
CONTROL ALGORITHMS RISKS IN IT PROJECTS
In this work basic approaches to project management of IT of a profile in a foreground mode are considered, especially when entering adjustments into structure of projects which un...
FINANCIAL RISKS OF BROKER’S ACTIVITY
FINANCIAL RISKS OF BROKER’S ACTIVITY
Changes in the Ukrainian economy and the development of the financial market are of interest in solving the problems associated with brokerage activities. These issues are of parti...
Impact of solar geoengineering on temperature-attributable mortality
Impact of solar geoengineering on temperature-attributable mortality
Decisions about solar geoengineering (SG) entail risk–risk tradeoffs between the direct risks of SG and SG’s ability to reduce climate risks. Quantitative comparisons between these...
Research on the Risk of the Fourth Party Logistics Enterprise Based on the Tripartite Cooperation Model under the Background of Made in China 2025: A Case Study of XCompany
Research on the Risk of the Fourth Party Logistics Enterprise Based on the Tripartite Cooperation Model under the Background of Made in China 2025: A Case Study of XCompany
Under the background of "made in China 2025", China's logistics development ushered in new opportunities, which put forward newer and higher requirements for the transformation and...
Artificial Intelligence and Machine Learning Used as an Enabler for Dynamic Risk Management
Artificial Intelligence and Machine Learning Used as an Enabler for Dynamic Risk Management
Abstract
Applying big data, data science, business process automation (BPA) and domain expertise to operational and project risk in the upstream O&G space, will ...

