Can a computer own intellectual property or bear criminal liability? GenAI poses thorny questions that challenge existing notions of ownership, copyright, and legal responsibility, argues financial crime risk and compliance specialist and legal expert Nigel Morris-Cotterill.

OpenAI recently informed the UK government its ChatGPT cannot function if it observes copyright laws. Telling ChatGPT and other GenAI to respect IP is almost like telling a cat not to chase pigeons, argues financial crime risk and compliance specialist Nigel Morris-Cotterill.

Generative technology - commonly referred to as ‘generative AI’ - is opening the door to photo-realistic imagery of the foulest kinds. This is not some hidden dark art, either - it is readily available in any browser on any computer or phone, and this is just the beginning.

Lawyer and financial crime risk and compliance specialist Nigel Morris-Cotterill explains why the GenAI being touted as the next wave in RegTech to keep VC funds flowing is in reality quite ineffective at financial risk analysis and anti-money laundering monitoring activities.

Science fiction shows the separation of a person into a real, human, form and a computer-generated duplicate, which may take on multiple appearances and abilities. The world is not quite there yet, but it is closer than one would think. Financial crime risk and compliance specialist, owner of FinCrimeTV, and raconteur Nigel Morris-Cotterill explains.

How is the widespread adoption of AI influencing financial crime? Is it empowering fraudsters or enhancing risk management and regulatory compliance? Today’s episode on the Delta Dialog tries to explore AI's Impact on Financial Crime, Risk, and Regulations.

Does AI truly possess intelligence, or is it primarily advanced data processing and pattern recognition? Explore the blurred lines in today’s episode on Delta Dialog.

This, the fourth in an article series titled Life and Crime in the Metaverse, examines the metaverse today and the question of whether it will ever reach its potential. Some already view it as a failure, but it could just be a steppingstone to something bigger and better.

Whether machines will ever outsmart humans is a question of the use of language and the inadequacy of programming because, on their own, machines are not clever, says Nigel Morris-Cotterill, author of The Yuan’s ‘Imaginary Friends’ series, on day 14 of The Yuan’s voyage of intelligent discovery.

This, the third in an article series titled Life and Crime in the Metaverse, examines the idea of trust, how to engage in online transactions and other interactions in its absence, and what this signifies in the metaverse context.

This is the second in a series of articles titled Life and Crime in the Metaverse. Contrary to popular belief, creating a metaverse takes just a few minutes, costs just a few dollars, and can be done almost without technical skills, so criminals are bound to take advantage.

As our four imaginary friends feted the New Year, they end this series by spreading cheer with examples of AI’s failures that may have ruined or caused lives to be lost. Their moral is blunt: Never unloose AI unless it is under adult supervision and subject to actual intelligence.

This time, the four imaginary friends gather together once more to consider the importance of precision in language as they examine vocabulary, grammar, and inflection. Imprecise language can be especially problematic with AI, which can easily get confused and spit out answers or take actions that are incorrect.

‘Seeing is believing.’ The Four Imaginary Friends dispute the nature of truth vs. semblance as they seek to pick apart the fundamental nature of Web 3.0 and the metaverse and their distinctions and overlap.

The Four Imaginary Friends continue to debate the fundamental question of whether humanity can expect machines to relate to the real world when the real world communicates in human language that has all kinds of peculiarities and nuances.

‘Artificial Intelligence’ and ‘Machine Learning’ depend on, among other things, the language used by humans. Four imaginary friends discuss the many uncertainties that creates.

The use of biometrics seemed unstoppable just a few weeks ago. But then questions of data protection were raised and now the when, where, and why of how images of people can be used has become a lot more complicated.

Four imaginary pals pick up on their discussion left off in ‘Yes, No, Maybe,’ chatting about some of Alan Turing’s views of the integration, or fusion, of humans and machines.

What is artificial intelligence really, and how does it work? AI has drawn much attention in recent years, but all the hype and the potential surrounding it often obscure the true situation. AI’s dominance is far from preordained or inevitable, and one must step back and assess things from time to time, as these four characters A, B, C, and D do here.