We’ve been
thinking…a lot
The ethical quandaries of AI in healthcare
Artificial Intelligence (AI) is permeating healthcare in multiple ways, from enhancing diagnostics to streamlining patient care and predicting outcomes. However, as AI technologies advance, they bring significant ethical concerns, particularly around privacy, bias,...
AI is changing HR, HR needs to change too
Human Resources Directors are attractive potential clients to companies selling workforce and AI and human resources solutions underpinned by large language models. First HR is always under cost pressure as a non-profit generating infrastructure. Second HR is often...
Large language models: challenges and opportunities
Large language models (LLMs) have revolutionised natural language processing (NLP) with their ability to generate human-like text at an unprecedented scale. These models enable advancements in fields ranging from customer service to education and content generation....
Introducing The Global Digital Compact (GDC)
The Global Digital Compact (GDC), as outlined in the draft of July 11, 2024, represents a unified international effort to shape the future of the digital landscape and AI, with the ultimate goal of building an inclusive, open, fair, safe, and secure digital space for...
Disability-inclusive design in AI
AI has transformed how we interact with the world; from virtual assistants like Siri and Alexa, to AI algorithms that curate our social media feeds, the influence of AI is undeniable. However, this transformation is not always equitable. Marginalised groups,...
AI for children: balancing innovation and ethics
As artificial intelligence (AI) becomes an increasingly powerful tool in product development, its application in services and products designed for children and young people presents both opportunities and ethical challenges. Children are a unique demographic,...
The AI sustainability challenge
The environmental impact of AI’s core infrastructures—particularly data centres—has become a growing concern worldwide. Recent research highlights the significant carbon footprint of large language models (LLMs) in natural language processing (NLP) and emphasises the...
Selecting the right generative AI vendors for your business
For senior executives, particularly those in large organisations, selecting the right generative AI vendors can be a pivotal decision. Whether in the private or public sector, adopting generative AI presents an opportunity to gain a substantial competitive edge by...
The case for robot friendships
In 2019, philosopher John Danaher presented a detailed defence of the possibility of humans forming genuine friendships with robots. This exploration of human-robot relationships (HRRs) and human-robot friendships (HRFs) addresses the rapid development of sociable...
What is ethical AI?
As the reach of artificial Intelligence grows, so do the ethical challenges that come with it. To harness AI responsibly, organisations must prioritise not just efficiency or profitability, but ethical AI principles that ensure fairness, transparency, and...
A role for investigative journalism in AI governance
The revelations of the Cambridge Analytica scandal in March 2018, when over 50 million Facebook profiles were harvested without consent, marked a pivotal moment in the public’s understanding of Big Tech’s data practices. The investigation by The New York Times and The...
Moving fast only breaks things
As AI systems increasingly integrate into critical infrastructure and high-stakes decision-making processes, the need for robust risk mitigation strategies is crucial.
The importance of red-teaming in AI risk
As AI systems increasingly integrate into critical infrastructure and high-stakes decision-making processes, the need for robust risk mitigation strategies is crucial.
A governance mechanism for AI video recruiting
The ethical and legal implications of the use of AI for human resources, in particular recruiting, is a well debated topic. In particular, using AI for analysis of video job interviews has sparked widespread controversy, and initiatives for regulation. In the recently...
The state of emerging AI regulation
As artificial intelligence (AI) rapidly advances, the question of how to govern these technologies has become pressing. Different global regions are developing their own standards and regulatory frameworks to manage AI's deployment and impact. However, the diversity...
What sort of artificial moral agents should we build?
The question of whether humanity should strive to build Artificial Moral Agents (AMAs), and if so, what kind, demands a thorough examination of their definition, feasibility, and the ethical considerations surrounding their development. This inquiry leads us to...
Can AI help your company deliver culture change?
Pity the team leading ‘corporate culture change’. This is time-consuming work; an attempt to define the indefinable in aspirational terms about which everyone has a point of view but few agree. The type of organisational culture a company wants often ends up being an...