1. The document discusses key issues around big data, AI, and intellectual property that IP educators need to explore, including potential biases in algorithms and the importance of access to data and text mining exceptions. 2. It notes statistics around lack of gender and disability inclusiveness in innovation and patenting. Surveys found most institutions lack accessibility facilities and few publish simplified or translated research. 3. The speaker calls for questioning status quos, greater data sharing rather than just downloading, and more emphasis on collaboration in the IP system and innovation process.