Skip to content
#explainable ai Book Open access

Small Firm, Smart Machines

Oct 2026 · Zenodo (CERN European Organization for Nuclear Research)
Artificial Intelligence Applications Impact of AI and Big Data on Business and Society

Abstract

Book 3 of the Power and Responsibility in the Age of AI series. Small and medium-sized firms make up more than 99 per cent of businesses, yet they are adopting AI more slowly than large ones, and the gap is widening. This book is a practical guide for the owners, managing directors and managers who run them. It explains what small firms lack and what they have, what AI can and cannot do for them and the barriers that really hold them back, then sets out START, a five-step method: spot the right task, test small, assess the value with one honest number, roll out without breaking things and track and govern on a small budget. Every chapter ends with key points for leaders and a short exercise, and an appendix turns START into a checklist. The Power and Responsibility in the Age of AI series examines the choices organisations make when they put artificial intelligence to work. Book 1 asks what AI consumes: the electricity, water, materials and grid capacity behind every prompt. Book 2 asks what AI is allowed to do, and who answers for it when AI agents act on our behalf. Book 3 asks how the businesses that make up most of the economy, the small and medium-sized firms without specialist teams or large budgets, can put AI to work well. Each book stands alone, and together they offer leaders a complete view of the costs, responsibilities and opportunities that come with AI. About the author. Adrian Summers is Group Director, Data and AI at one of Saudi Arabia's largest construction and engineering groups, leading AI strategy and governance across 14 subsidiaries while building AI systems himself, including an agentic platform with human oversight. His background spans investment banking, funds management and defence advisory. He holds degrees in finance, management and AI, and is a PhD candidate in AI and technology.

View source

Similar papers

#artificial intelligence Conference Open access Apr 2020

ECCOLA - a Method for Implementing Ethically Aligned AI Systems

The method, ECCOLA, is presented, which aims at making the high-level AI ethics principles more practical, making it possible for developers to more easily implement them in practice.

Ville Vakkuri, Kai-Kristian Kemell, P. Abrahamsson · 64 citations · ⚡6
#computer vision Review Apr 2024

AI-powered Code Review with LLMs: Early Results

The goal is to not only refine the accuracy of the LLM-based tool but also to underscore its potential in streamlining the software development lifecycle through proactive code improvement and education.

Z. Rasheed, Malik Abdul Sami, Muhammad Waseem et al. · 62 citations · ⚡3
#computer vision Open access Mar 2024

LLM-based agents for automating the enhancement of user story quality: An early report

The use of large language models to automatically improve the user story quality in Austrian Post Group IT agile teams is explored, with a reference model for an Autonomous LLM-based Agent System developed and implemented at the company.

Zheying Zhang, M. Rayhan, Tomas Herda et al. · 48 citations · ⚡4
#computer vision Review Mar 2024

System for systematic literature review using multiple AI agents: Concept and an empirical evaluation

This paper introduces a novel multi-AI-agent system designed to fully automate SLRs, and demonstrates how it substantially reduces the time and effort traditionally required for SLRs while maintaining comprehensiveness and precision.

Abdul Malik Sami, Z. Rasheed, Kai-Kristian Kemell et al. · 44 citations · ⚡2
#computer vision Feb 2024

Can Large Language Models Serve as Data Analysts? A Multi-Agent Assisted Approach for Qualitative Data Analysis

The proposed LLM-based multi-agent system automates qualitative data analysis process, creating opportunities for researchers and practitioners, and future improvements focus on enhancing multilingual performance and integrating continuous expert feedback.

Z. Rasheed, Muhammad Waseem, Aakash Ahmad et al. · 41 citations
#artificial intelligence Conference Open access Jun 2018

The Key Concepts of Ethics of Artificial Intelligence

It is suggested that the focus on finding keywords is the first step in guiding and providing direction for future research in the AI ethics field.

Ville Vakkuri, P. Abrahamsson · 39 citations · ⚡2

Related blog posts

MIT News · Artificial Intelligence Oct 15, 2026

AI model decodes the language cells use to communicate

A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.