The cyber era heralded unparalleled opportunities for the advancement of science, technology and communication, and unleashed a range of new attack vectors for rogue elements, criminals and virtual terrorists. The era of machine learning is doing much the same, for the promise of advancement has gone hand in hand with a range of new perils and an expanded set of actors capable of carrying out attacks using artificial intelligence (AI) and machine learning systems. This flows naturally from the efficiency, scalability and ease of diffusion of AI systems, which can increase the number of actors who can carry out attacks against civilian, business and military targets.
Browse through anything about Artificial Intelligence and machine learning and chances are, you will run into two types of articles: First, you will find all the thought pieces by the likes of the Big 4 accountancy firms, major consultancies, the World Economic Forum and others that discuss all the opportunities that AI provides. Second, you will find very technical articles for the “techies” that focus on the ins and outs of these technologies. What you will struggle to find are pieces and conversations about the key risks and related implications these technologies create with a broader audience in mind. Until now. Today, we talk AI Supremacy.