Realising AI in Practice

AI development should prioritise interventional methods that are grounded in practical applications and focused on human needs. By adopting an interventional and human-centered approach, we can ensure that AI systems are designed to appropriately address real-world challenges. This means engaging with users throughout the innovation process, gathering feedback, and iterating based on their needs in their contexts. Moving away from purely technology-centric implementations allows us to create AI solutions that are not only innovative but also ethical, accessible, and beneficial, ultimately fostering a more positive impact on society.