Oct 2026· International Journal of Law Management & Humanities· 0 citations· 4 references
Abstract
The modern business world is changing rapidly with the increasing use of artificial intelligence (AI) and predictive analytics. Earlier, businesses depended mainly on past data to understand what had already happened. Today, AI and analytics help organizations predict future situations and make better decisions based on available data. This change has given rise to the idea of “augmented intelligence”, in which AI works together with people to support their decisions instead of replacing them. This paper studies how the use of AI and predictive analytics is affecting businesses and the way managers make decisions. It focuses on the use of AI in daily work, the automation of routine tasks, access to analytical tools and the changing role of human judgment in decision-making. A survey of 35 management professionals (N = 35) was conducted to understand their practical experience of AI and analytics in the workplace. The results show that AI is already being used in many professional roles: about 88.6% of respondents said that their work involves both AI and analytics, and 82.9% said that AI has significantly reduced their workload.
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This work proposes a HALO that directly maximizes the utility of generations instead of maximizing the log-likelihood of preferences, and suggests that the best loss depends on the inductive biases most appropriate for a given setting, an oft-overlooked consideration.
This work investigates the possibilities of using LLMs in a resume screening setting via a document retrieval framework that simulates job candidate selection and finds that the MTEs are biased, significantly favoring White-associated names in 85% of cases and female-associated names in only 11.1% of cases.
This work shows that orders of magnitude enhancement in performance could be obtained by a combination of hardware improvements and tight quantum-HPC integration and introduces high-performance architectures for quantum-probabilistic computing with custom-designed accelerators to tackle today's industry-scale classical...
Masoud Mohseni, Artur Scherer, K. Johnson et al.· arXiv.org· 121 citations· ⚡9
