Opinion polling of public attitudes on the UK’s intelligence agencies reveals that Britons are often still ambivalent around issues of agency activity and powers despite increasing engagement and ...outreach activity. Drawing parallels with similar polling in North America and Europe, this article suggests that while public support for national agencies remains relatively strong, with high levels of ‘trust’, views on what intelligence agencies do – and who ‘does intelligence’ – remain deeply wedded to James Bond-like clichés. Daniel W B Lomas and Stephen Ward argue that, while popular perceptions of intelligence have traditionally offered cover and even increased awareness of agencies such as the Secret Intelligence Service, the lack of public awareness is dangerous as agencies build a ‘licence to operate’ in the 21st century.◼
This volume examines the ethical issues that arise as a result of national security intelligence collection and analysis. Powerful new technologies enable the collection, communication, and analysis ...of national security data on an unprecedented scale. Data collection now plays a central role in intelligence practice, yet this development raises a host of ethical and national security problems, such as: privacy; autonomy; threats to national security and democracy by foreign states; and accountability for liberal democracies. This volume provides a comprehensive set of in-depth ethical analyses of these problems by combining contributions from both ethics scholars and intelligence practitioners. It provides the reader with a practical understanding of relevant operations, the issues that they raise, and analysis of how responses to these issues can be informed by a commitment to liberal democratic values. This combination of perspectives is crucial in providing an informed appreciation of ethical challenges that is also grounded in the realities of the practice of intelligence. This book will be of great interest to all students of intelligence studies, ethics, security studies, foreign policy, and International Relations.
•Provide insights into AI-Human communication.•Define levels of explanation with identified techniques that align with AI cognitive processes.•Discuss insights into Broad eXplainable Artificial ...Intelligence (Broad-XAI).•Align AI explanation to human communication.
Over the last few years there has been rapid research growth into eXplainable Artificial Intelligence (XAI) and the closely aligned Interpretable Machine Learning (IML). Drivers for this growth include recent legislative changes and increased investments by industry and governments, along with increased concern from the general public. People are affected by autonomous decisions every day and the public need to understand the decision-making process to accept the outcomes. However, the vast majority of the applications of XAI/IML are focused on providing low-level ‘narrow’ explanations of how an individual decision was reached based on a particular datum. While important, these explanations rarely provide insights into an agent's: beliefs and motivations; hypotheses of other (human, animal or AI) agents' intentions; interpretation of external cultural expectations; or, processes used to generate its own explanation. Yet all of these factors, we propose, are essential to providing the explanatory depth that people require to accept and trust the AI's decision-making. This paper aims to define levels of explanation and describe how they can be integrated to create a human-aligned conversational explanation system. In so doing, this paper will survey current approaches and discuss the integration of different technologies to achieve these levels with Broad eXplainable Artificial Intelligence (Broad-XAI), and thereby move towards high-level ‘strong’ explanations.
This article presents seven principles that have guided our thinking about emotional intelligence, some of them new. We have reformulated our original ability model here guided by these principles, ...clarified earlier statements of the model that were unclear, and revised portions of it in response to current research. In this revision, we also positioned emotional intelligence amidst other hot intelligences including personal and social intelligences, and examined the implications of the changes to the model. We discuss the present and future of the concept of emotional intelligence as a mental ability.