It is common, today, to get into a meeting and receive a notice that it is being recorded; or in some cases, seeing a phantom participant that is only an AI notetaker. These started not more than five years ago and spread quickly, due mostly to predatory product strategies that
There is an extensive list of risks and concerns around LLMs and AI-based chatbots. Two of them are always top of mind for people starting to think about using AI-enabled tools: accuracy of outputs and bias. Some of the most common questions are: How can I tell if the statistics
When I started writing the first draft of what the AI Literacy Lab was supposed to be, three pillars were evident: 1. It should focus on practical, actionable information, shaped by needs and challenges from the organisation we're working with 2. It should give context to allow for
Work through each section to identify what your IT policy needs to cover. Select everything that applies to your organisation, and the relevant policy requirements will appear as you go. Section 1 Data Sensitivity Does your organisation handle any of the following types of data? * Information that could put individuals
Most organisations, either private, public or focused on social impact, struggle with their tech stack. There are always too many problems to be solved and too many platforms that promise to solve them, usually without success. Similar projects are started with different management tools, and nobody really knows who should