The relationship between technology and humanity is at a crossroads. The policy window that the world has at its disposal to govern this space is rapidly closing: 2023 must be the year where meaningful change happens in AI governance.

The metaverse has prompted a lot of hype in recent years, but what is it exactly? AI expert Ivana Bartoletti takes a closer look at what the technology entails, and how it will likely affect people’s lives in the years to come.

Regulation of AI systems and automated decision-making is gleaning more attention in global legislative, policy, regulatory and professional circles. The world is seeing a proliferation of initiatives as AI and Big Data support swift developments across almost every area - especially in health.

Ivana Bartoletti, global chief privacy officer at Wipro, warns that, as with medicine, getting the dosage right with tech is crucial.

Given all the focus on the potential benefits of AI, its greenhouse gas emissions rarely get much attention. Reducing these emissions while using AI to help reduce discharges in other sectors will go far in making AI and other leading technologies more sustainable and eco-friendly.

Ivana Bartoletti takes a look at the future actions that AI’s powerful players must take to win the world’s trust in innovation. This will make AI both more effective and safer, and better ensure that citizens’ personal data and individual rights are respected.

Calls for greater transparency in the workings of artificial intelligence models have become more strident in recent years. Transparency mitigates issues of fairness, discrimination, and trust, and allows humans to see whether models have been thoroughly tested and make sense, and understand why particular decisions are made. Ivana Bartoletti defines the concept of transparency, those involved in AI development, and those impacted by the system.

Ivana Bartoletti poses the question ‘What is fairness?’ as she continues to investigate the complex concept of artificial intelligence bias based on race, sex, and the economy, and proposes possible courses of action to build trust and address these issues.

Artificial intelligence bias takes several forms. Ivana Bartoletti investigates the cause and effect of AI bias, and tackles what needs to be done to create trust in AI systems.

In the discourse around the use of AI one often hears that humans must remain in the loop. This human oversight element is at the heart of conformity assessments in the recent European Union AI Act. But what does human oversight really mean, and how does it work in practice?

The European Commission’s recent draft AI regulation ticks off obligations providers, manufacturers, distributors and users must bear, and spans the gamut of players in the AI chain.

AI solutions are driving the allocation of resources and actively define what individuals are exposed to: from credit scoring to facial recognition, predictive technologies to identifying fraudsters with precision, youth crime prevention tools, and algorithm-driven advertising. How far AI can go is already a reality we live every day.