Investigating the influence of artificial intelligence on business value in the digital era of strategy: A literature review
For organizations, the development of new business models and competitive advantages
through the integration of artificial intelligence (AI) in business and IT strategies holds …
through the integration of artificial intelligence (AI) in business and IT strategies holds …
Industrial artificial intelligence in industry 4.0-systematic review, challenges and outlook
The advent of the Industry 4.0 initiative has made it so that manufacturing environments are
becoming more and more dynamic, connected but also inherently more complex, with …
becoming more and more dynamic, connected but also inherently more complex, with …
[HTML][HTML] Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence
Artificial intelligence (AI) is currently being utilized in a wide range of sophisticated
applications, but the outcomes of many AI models are challenging to comprehend and trust …
applications, but the outcomes of many AI models are challenging to comprehend and trust …
Generative AI and ChatGPT: Applications, challenges, and AI-human collaboration
Artificial intelligence (AI) has elicited much attention across disciplines and industries (Hyder
et al., 2019). AI has been defined as “a system's ability to correctly interpret external data, to …
et al., 2019). AI has been defined as “a system's ability to correctly interpret external data, to …
[HTML][HTML] Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation
Abstract Trustworthy Artificial Intelligence (AI) is based on seven technical requirements
sustained over three main pillars that should be met throughout the system's entire life cycle …
sustained over three main pillars that should be met throughout the system's entire life cycle …
Predictability and surprise in large generative models
Large-scale pre-training has recently emerged as a technique for creating capable, general-
purpose, generative models such as GPT-3, Megatron-Turing NLG, Gopher, and many …
purpose, generative models such as GPT-3, Megatron-Turing NLG, Gopher, and many …
The gradient of generative AI release: Methods and considerations
I Solaiman - Proceedings of the 2023 ACM conference on fairness …, 2023 - dl.acm.org
As increasingly powerful generative AI systems are developed, the release method greatly
varies. We propose a framework to assess six levels of access to generative AI systems: fully …
varies. We propose a framework to assess six levels of access to generative AI systems: fully …
Frontier AI regulation: Managing emerging risks to public safety
Advanced AI models hold the promise of tremendous benefits for humanity, but society
needs to proactively manage the accompanying risks. In this paper, we focus on what we …
needs to proactively manage the accompanying risks. In this paper, we focus on what we …
Unsolved problems in ml safety
Machine learning (ML) systems are rapidly increasing in size, are acquiring new
capabilities, and are increasingly deployed in high-stakes settings. As with other powerful …
capabilities, and are increasingly deployed in high-stakes settings. As with other powerful …
Secure, privacy-preserving and federated machine learning in medical imaging
The broad application of artificial intelligence techniques in medicine is currently hindered
by limited dataset availability for algorithm training and validation, due to the absence of …
by limited dataset availability for algorithm training and validation, due to the absence of …