Blog - Verlicity AI

Holding AI to a Double Standard: The Moral Costs of Inaction

AI isn’t perfect but neither are we. In 2019, David Gunkel coined the term “asymmetric virtue”, to refer to the demanding level of perfection we expect from machines, such as self-driving cars, that we would never expect from human beings. But when does this imbalanced way of assessing technology cross the line and become unethical? To better understand this problem,

Artificial Intelligence Disruption of IaaS

AI’s Looming Disruption of the IaaS Industry – and How to Fight Back

Artificial Intelligence (AI) is poised to violently disrupt the Information-as-a-Service (IaaS) industry. The announcement this week that Google’s Deepmind project GenCast performed better than the ENS forecasts produced by European Centre for Medium-Range Weather Forecasts (ECMWF) was a shot heard around the world. Predicting day-to-day weather, paths of hurricanes and cyclones is the most complex Information as a Service (IaaS)

Businesses and AI have Conflicting Priorities

Businesses face a challenge balancing data security, protecting their competitive edge, and accessing the latest real-time data when they use AI. These priorities are often in conflict. Getting the most from an AI system requires real-time client data. But using client data on public AI services poses risks, such as: Self-Hosting an AI system addresses concerns around competitive intelligence and

Collaboration with AI: What Garry Kasparov’s Freestyle Chess Teaches Us About AI in Business

In 1997, the world watched as Garry Kasparov, the reigning world chess champion, was defeated by IBM’s supercomputer Deep Blue. Rather than accepting that humans were no longer relevant as chess players, Kasparov saw this event as a new beginning. He pioneered the concept of Freestyle Chess, where humans and AI collaborate, combining their strengths. As Kasparov later said, ‘Weak

The Illusion of Anonymity with Public AI Services

When most of us use Public AI services, like ChatGPT and Gemini, we quickly find ourselves confiding in these services, sharing details and personal information. The personal manner in which these services interact with us fosters the illusion of anonymity and confidentiality. But Public AI services have a deep dark secret. They are not secure. The queries and the data

Holding AI to a Double Standard: The Moral Costs of Inaction

AI’s Looming Disruption of the IaaS Industry – and How to Fight Back

Businesses and AI have Conflicting Priorities

Collaboration with AI: What Garry Kasparov’s Freestyle Chess Teaches Us About AI in Business

The Illusion of Anonymity with Public AI Services

The Hidden Risks of Sharing Sensitive Data with Public AI Services