Visualising AI

Diversifying perspectives of AI

What does artificial intelligence (AI) look like? Searching online, the answer is likely streams of code, glowing blue brains or white robots with men in suits.

These misleading representations of AI are used for everything from news stories and advertising to personal blogs. These stereotypes can negatively impact public perceptions of AI by giving people unrealistic expectations of technologies. Imagery of AI often excludes global perspectives and this lack of diversity can amplify inequalities in society.

Visualising AI commissions artists from around the world to create more diverse and accessible representations of AI, inspired by conversations with scientists, engineers, and ethicists at Google DeepMind.

AI can transform our world for the better. Diversifying the way we visualise these emerging technologies is the first step to expanding the wider public’s vision of what AI can look like today and become tomorrow.

A visualisation of 3D shapes in different forms and colours spaced out across the image. With small blocks of objects that look like crowds of people.

Novoto Studio

AI and society are transforming together. Research is exploring the impact of AI on individuals and society and how they can harness the benefits through AI tools and mitigate risks through equitable development.

A 3D image of a topography of blue circular and triangular beads, with taller blue and purple beads spiking from the ground.

Domhnall Malone

Artificial General Intelligence (AGI) describes AI that would be more generally capable in human-like ways. Many AI systems are good at specific tasks, but more general AI could be a transformative tool.

An image of a butterfly perched on a branch, surrounded by seemingly energised earthy elements.

Nidia Dias

Biodiversity describes the breadth of life on Earth. Using AI, researchers can better understand, track and ultimately, find ways to protect plants and animals to ecosystems.

An illustration multicoloured network of cubes, orbs, and other shapes, with crosses and arrows pointing in different directions.

Champ Panupong Techawongthawon

Chip design is at the core of our phones, computers and digital lives. Producing new computer chips can take years of work, but AI-based approaches can speed up the design of more powerful and efficient circuits.

An animated video montage of rippling shapes, pulsating energetically and shifting colour.

Ariel Lu

Data labelling makes data usable to train AI, but the human labour behind it is often undervalued. Ethics research sheds light on the human involvement in AI and the importance of ethical data labour.

Khyati Trehan

Digital biology, or computational biology, is the use of data and AI to study life. This ranges from simulating biological systems to harnessing AI to uncover patterns in the natural world.

An image of a purple and black geometric mesh akin to a computer's circuit board.

Rose Pilkington

Neuroscience and AI have created a virtuous cycle in research. Early work on neural networks were inspired by psychology and neuroscience, and similarly approaches in AI can help teach us about ways in which humans may think.

An image of a shape that resembles a ‘spinal cord’ with a curved string of shaped and a disc shape in the middle.

Wes Cockx

Robotics and more broadly embodied AI, describe AI that can take a physical form in the real or simulated world. By combining AI systems with an understanding of physical dynamics and different types of agents, these technologies can be used more easily in the real world.

An image of colourful 3D shapes floating and squashing together, in a frame of darker shapes.

Vincent Schwenk

Video compression allows billions of people to watch videos around the world. Using AI to compress videos more efficiently, makes streaming faster and saves data and energy on a global scale.

Diversifying perspectives of AI

Changing what AI looks like in the world

Artists' take on AI

Visualising emerging technologies

Envisioning the future of AI