In ten years, driverless taxis are projected to service up to a quarter of all kilometers passengers travel on shared mobility in Beijing and Shanghai.
In the past 5 years, AI has become an increasing part of our lives, revolutionizing industries, but is still not free from risk, write two computing experts.
The Zero-Trust model is recognized as an effective approach to prevent data breaches and mitigate risk of supply chain attacks. Now is the time to embrace it.
Until recently, concerns about data privacy have thwarted AI research. Tech advances that don't require data sharing are set to revolutionize healthcare.
A new study suggests that a robot might reduce feelings of embarrassment when, for example, booking sensitive medical appointments.
Despite clear economic benefits of new digital technologies, slow median wage growth has led many to worry that these new technologies are failing to deliver for the average worker.
Jazz, renowned for its improvisation and spontaneity, spotlights the type of human skills and activities that a machine may struggle to replicate.
A growing number of companies are exploring how AI can be used to create your 'digital twin'. MindBankAi is the latest to adopt this.
It can be challenging to ensure that AI development is fair when the algorithms at its core are designed with biases which are often unconscious.
Deepfakes are eroding trust in the digital ecosystem. Blockchain technology alone can't restore it – we need enhanced digital governance to underpin it.
Based on the work of the Forum's Responsible Use of Technology project here are 3 future trends to look out for in the ethical use of technology.
Facial recognition technology can help conduct faster investigations and bring offenders to justice, but guidance is needed to prevent human rights abuses
This report provides principles for the responsible use of facial recognition in law enforcement investigations and a self-assessment questionnaire to ensure compliance with the principles.
New technology can perpetuate historical inequality. Regulation must consider the intergenerational impact of today's decisions in emerging areas like AI.
From data to the AI model itself, these steps can help businesses make AI inclusive, responsible and ethical throughout its development and implementation