Diverse representation is an expectation, but as individuals no longer allow themselves to be defined in singular terms, there's mounting pressure on brands to understand and sensitively reflect how the intersections between race, gender, class, and ability impact people's everyday lives.

People are taking a patchwork approach to self-expression to feel like they have control over how their identity is generated. Yet as individual expression becomes more mutable and mistrust in social systems abounds, there’s one place above all that people are seeking integrity and guidance: brands.

Conversational AI is becoming embedded in people’s daily routines, with the technology becoming an increasing priority for companies across sectors. However, as people continue to voice mixed emotions around its introduction, how can brands help to build trust and develop quality user experiences?

As businesses and people become aware of the possibilities that AI can bring to marketing and digital services, worries are mounting around the hyper-personalisation of AI. Canvas8 spoke to marketing professor Eleonora Pantando about how AI personalities can smooth operations and customer journeys.

Entertainment company Hybe used voice AI to launch artist Midnatt simultaneously in six languages. While AI in the music industry is leading to concerns around ownership and authenticity, this shows the potential voice synthesis tools have in giving both artists and fans new music experiences.

Abu Dhabi-based technology company G42 has unveiled an open-source Arabic large language model (LLM) known as Jais. Linguistic exclusion remains a barrier in AI development, but companies around the globe are now investing more in marginalised languages when it comes to training datasets.