Nowhere is the competition in developing artificial intelligence fiercer than in the accelerating rivalry between the United States and China. At stake in this competition is not just who leads in AI but who sets the rules for how it is used around the world. China is forging a new model of digital authoritarianism at home and is actively exporting it abroad. It has launched a national-level AI development plan with the intent to be the global leader by 2030. And it is spending billions on AI deployment, training more AI scientists and aggressively courting experts from Silicon Valley.

Consumers support artificial intelligence but worry about how businesses use the technology, according to a new survey, with well over half of respondents reporting they have lost trust in organisations due to their use of AI. The data was revealed in Cisco's 2022 Consumer Privacy Survey, an annual global review of consumers' perceptions and behaviours on data privacy. This year's survey highlights the need for further transparency as consumers say their top priority is for organisations to be more transparent on how they use their personal data. Cisco's survey also showed that while consumers are supportive of AI (with 54% willing to share their anonymised data to improve AI products), 65% have lost trust in organisations due to their use of AI. "Organisations need to explain their data practices in simple terms and make them readily available so that customers and users can understand what is going on with their data. It is not just legally required; trust depends on it," says Harvey Jang, Cisco Vice President, Deputy General Counsel and Chief Privacy Officer.

In particular, thorny artificial intelligence data privacy issues can arise if employers can detect and view more -- and more personal -- data about their employees on devices or apps. One way for IT to address data privacy issues with machine learning is to "mask" the data collected, or anonymize it so that observers can't learn specific information about a specific user. And the Fair Debt Collection Practices Act limits creditors and other financial institutions from sharing identifying information about a person's transactions or debts. Still, the data privacy issues raised by artificial intelligence are not entirely new.

Runway Girl Network recently sat down with Emirates SVP IT Strategic Services Neetan Chopra to discuss the evolution of the company's technology portfolio and the various data mining solutions being explored by an airline that moves nearly 52 million passengers annually. In the second part of our two-part series, Chopra speaks about the evolution of Passenger Service Systems (PSS) to meet the needs of modern data exchange, and the airline's block-chain and IoT work. Back-office systems covering everything from loyalty to maintenance will be impacted by these evolving platforms and Emirates is putting them into play in a major way, as well as mulling new approaches like creating an AI platform to aggregate artificial intelligence data. One of the things you talked about in your presentation is how technology stacks are evolving, especially for end users. Unfortunately, we're still on the legacy global distribution system (GDS) platforms for the most part, but how consumers interact is changing.