As far back as the mid 2000s museums were talking about Artificial Intelligence (AI), however while these technologies have become increasingly pervasive in wider society from voice activated systems such as Alexa to the promise of Tesla's self driving cars, they are only beginning to be explored, in a museum context. With the National Gallery (UK), The Metropolitan Museum of Art (US), American Museum of Natural History (US), MoMA (US), Cooper-Hewitt (US) all beginning to explore the potential of AI this network will bring together a range of senior museum professionals and prominent academics to develop the conversation around AI, ethics and museums. AI technologies including machine learning, predictive analytics and others, bring exciting possibilities of knowing more about visitors and collections. However, it raises important challenges to ethics. With the increasing awareness and regulations about data usage, museums, must approach AI with both caution and fervour. To successfully achieve this senior museum professionals need to be provided with the opportunity to examine what this model might look like, and the wider impact that museums can have when it comes to advocating for new ethical standards. This research project will bring together museum professionals and scholars to discuss the cost, and indeed skills required to successfully adopt the true possibilities of AI. Cost and skill, have thus far acted as a barrier for museums, however with these technologies becoming more pervasive and skills more in demand, this is a timely moment for museums to explore the possibilities and ethical challenges of AI across their work from visitors to collections. As such this network seeks to challenge this known issue - ethics as an afterthought - by embedding it into the conversation on AI in Museums at this critical moment. A conversation that will help to inform funders and senior managers about the opportunities and challenges this technology poses for the sector.