Ethics & Technology

Audiencing is something we do everyday. We do it all the time. In fact, we are so familiar with giving attention to someone or something how we audience and the types of audiencing we are do are invisible. This book makes visible four types of audiencing, and you will discover what it means to do each form of audiencing and why this matters. Playful popular quotes, academic research, and anecdotes from numerous fields of endeavour from computer programming to jujitsu, from movie editing to watching a friend play football, are all used to demonstrate the characteristics and challenges of each audiencing type. Audiencing presents a far-reaching concept and a useful language to see and understand ourselves as audiences in our work and study, in the arts, communications, sport, on the internet, and in our everyday lives as we audience each other. To discover more – audience on.

Forecast better when predicting the unpredictable with the 5 methods. WHAT ARE YOU WAITING FOR?

Discover how Java developers can contribute to a sustainable future. Written by Java Champions and community experts, this collaborative guide explores practical approaches to sustainable software engineering, from resource-efficient design to mindful architecture, empowering you to reduce your environmental impact while building better systems.

A manifesto against simulated empathy.A blueprint for ethical design.This is not a book about AI—it’s about what we mistake it for.

Eleven responsible AI objectives supporting AI Governance, with a practical framework, coding companion and downloadable Python exercises.

Every second, a machine makes a decision for you. Can it prove it? Most AI can’t. Proof of Intelligence shows leaders, architects and builders how to combine AI and blockchain into systems that can prove where their data came from, what they did and who is accountable.

AI is changing how we work, learn and live, but understanding it does not have to be complicated. This practical guide explains how modern AI and LLMs work, what they can do, where they fall short and how to use them effectively without the hype.

When machines can create compelling work, what makes human involvement matter? Explore the value of authorship, the experience of making, and the relationships that give creative work its meaning.

A Technical Engineering Reference on Decentralized, Resilient, and Autonomous Mesh Communication InfrastructureWhat happens when a network can no longer depend on centralized infrastructure?Engineering Sovereign Dark Mesh Networks examines the architecture, protocols, cryptographic foundations, routing systems, hardware and resilience strategies behind decentralized communication networks designed to operate across unreliable, disconnected, and infrastructure-constrained environments.

Cloud GPU rental costs more than compute time. It can also introduce recurring expenses, external dependencies, and additional questions about where your prompts, datasets, and model artifacts are processed. A local machine learning workstation gives you direct control over the hardware, software stack, and data workflows. The Local AI Stack is a technical engineering reference for building a Windows-based machine learning workstation with Linux environments, NVIDIA GPU acceleration, and virtualization. Across 140 pages, it follows the stack from firmware configuration and Windows virtualization features to CUDA-enabled containers, model inference, storage optimization, and system recovery.

An advanced technical reference to Qiskit architecture, IBM Quantum hardware, pulse-level control, error mitigation, quantum algorithms, and scalable quantum-classical computing.Quantum computing is moving beyond the construction of theoretical circuits toward the practical challenge of executing workloads on noisy, hardware-constrained quantum processors. This transition requires a detailed understanding of quantum algorithms, compiler architecture, device topology, calibration, error mitigation, and the classical infrastructure that supports quantum execution. Advanced IBM Quantum Computing and Qiskit Architecture is an 80-chapter technical reference exploring the engineering principles behind modern Qiskit development and IBM Quantum systems. It connects quantum programming abstractions with hardware-aware compilation, runtime execution, performance analysis, and the challenges of building reproducible quantum-classical workflows.

In a world where every byte has an impact, Sustainable IT, the Right Way turns digital sustainability from slogan into daily practice. No abstract theory: numbers, monitoring, OKRs, and a real action plan. Concrete examples, ready-to-use tools, and the Green Software Foundation's best practices, in operational language for those who want to make a difference today.

Personally, I think that the Assembly system of conditional jumps makes a lot of sense. Other programming languages such as BASIC and C have "goto" statements that work like this. For example, `if(eax<ebx){goto less;}`. Modern programming languages tend to discourage the use of goto or not allow it at all. However, these languages still use jumps I have described in this section because it is required by the hardware. Both "if" and "while" statements are written by using the conditional jump statements most relevant to what you are trying to do. The only thing I have found difficult about jumps in assembly is remembering which acronym means which condition. However, since I created the chart in this chapter, now I can refer to it, and you can too! As long as I keep these six main types of conditions in my head and am working with unsigned numbers, I can write almost any assembly program from scratch.

A living digital book on artificial intelligence and human intelligence, exploring how AI is reshaping knowledge, creativity, innovation, uncertainty, and the human future.

Navigate the architectural discontinuity of the Foundation Model Era with this comprehensive guide designed for professionals sitting at the intersection of technology and leadership. Master the intersection of technical precision and strategic oversight through the RACE framework, robust ethical principles, and the operational realities of MLOps. From the legal mandates of the EU AI Act to the emerging risks of agentic AI, this guide empowers you to lead AI transformation with intention and accountability.