
Building AI Strategy
Building the knowledge to confidently engage with AI technologies, strengthen security programs, align with global standards, and drive ethical, secure AI adoption across organizations, does not come automatically.
Building the knowledge to confidently engage with AI technologies, strengthen security programs, align with global standards, and drive ethical, secure AI adoption across organizations, does not come automatically.
Some months ago, a colleague from the IMD Board Community group suggested the Program āFrom Insight to Action: Advancing Enterprise AI Governanceā. A program offered by Stanford Law Schoolās ROCK Center for Corporate Governance.
My journey with Machine Learning and AI started back in 2017; my first article about AI in this blog was in 2019. And I believe that Governance is of utmost importance in many things, AI being one of them.
OpenAI's ChatGPT, changed the landscape of AI for good. Not that we did not have AI applications until then, and not that we did not have Large Language Models. NVidia was there 6 years ago!
As a security executive, I often find myself troubled about the lack of cyber risk understanding in companys' executive management. I may be wrong, but apparently not very much. Lately, the voices for the need of proper cyber security risk governance at the board level are getting louder, and are coming from multiple sources; including the US Security and Exchanges Committee.
Since ChatGPT went public on November 30, 2022, the world seems to have changed. My LinkedIn timeline was flooded with posts about ChatGPT and its applications. As is usually the case with new things, the timeline was also flooded with self-proclaimed experts. It looks like everybody is focusing on prompting though, which, although quite useful, puts you in the "user" seat. Well, I was never too much of a user.