Tom Kane

I am a research-active lecturer in Artificial Intelligence, Data-Science and Business Information Systems. My primary research area is in the artificial intelligence of artificial persons and interactions between artificial persons and natural persons. The oncoming fourth industrial revolution which will blur the distinction between human and machine interactions is inevitable, and will bring disruptive business opportunities for organisations who manage to harness the new business potential of social bots, communicative medical devices, deep data-mining, cognitive and near-cognitive systems and robotic, autonomous systems. Alongside the challenge of innovating hardware and software systems that can mimic or impersonate human capabilities come fascinating and complex ethical questions of their place in the Information Society. Clear, logical AI models that maintain contractual obligations and ethical responsibilities; and that are comprehensible and testable by technologists and civic society alike are my major interest. My background is both academic and business focused. The rollout of implementations of AI systems while addressing the ethical questions these systems raise are of interest both to my Artificial Intelligence training and my business background.