Two tails of management are in common circulation, one Integrated Management and the other is Combination Management, although the latter is commonly pedalled as integrated. This presents a problem when seeking to improve management processes and organisational performance. Continue reading
Explainable artificial intelligence (XAI) is a set of processes and methods that allows human users to comprehend and trust the results and output created by machine learning algorithms.
Explainable AI is used to describe an AI model, its expected impact, and potential biases. It helps characterize model accuracy, fairness, transparency, and outcomes in AI-powered decision making. Explainable AI is crucial for an organization in building trust and confidence when putting AI models into production. AI explain ability also helps an organization adopt a responsible approach to AI development. Continue reading
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t is so easy for me to remember leaving an old employer’s large meeting room, gauging the reaction of my colleagues to “the launch of our new plan” for the company. It was easy because they all had the same response as I had to the CEO’s spiel: confusion and bewilderment. Continue reading
This article provides insights into why the International Organisation for Standardization (ISO) strategy for management systems standards over the last two decades has failed to meet the needs of organisations. It is producing standards that are not fit for purpose and misaligned with the needs, expectations and aspirations of its customers and other stakeholders and is negatively impacting economic, social and ecological performance. Continue reading
Shortly after rumors leaked of former President Donald Trump’s impending indictment, images purporting to show his arrest appeared online. These images looked like news photos, but they were fake. They were created by a generative artificial intelligence system.
Generative AI, in the form of image generators like DALL-E, Midjourney and Stable Diffusion, and text generators like Bard, ChatGPT, Chinchilla and LLaMA, has exploded in the public sphere. By combining clever machine-learning algorithms with billions of pieces of human-generated content, these systems can do anything from create an eerily realistic image from a caption, synthesize a speech in President Joe Biden’s voice, replace one person’s likeness with another in a video, or write a coherent 800-word op-ed from a title prompt. Continue reading