Responsible AI practice enhances reputation, profit and reduces risk. Here we explain what you can do to prepare your organization for success and in doing so align with emerging regulations.
Anekanta® AI have developed a number of independent, vendor agnostic AI governance frameworks expertly designed to assess the safety of high-risk AI and the impact on stakeholders. Our Facial Recogniton Privacy Impact Risk Assessment System™ contains a small sub-set of our wider capability. Find out more.
The Anekanta® AI, AI Risk Intelligence System™ for biometric and high-risk AI supports organisations to build consistency into their governance processes. The system leads to the creation of a new comparable data set about the AI, which can be analysed to reach conclusions about the impact and risks associated with using certain types of software.
AI generated outputs used within the EU, whether the software resides in the EU or not, render the it subject to the Act. Whether a developer/provider or user/deployer it is time to take action.
Anekanta AI leads the brand portfolio focused on AI impact, risk, compliance and assurance. We support organisations developing, providing and using (deploying) high-risk AIs to conform to the requirements and principles of the EU AI Act in the EU and regions outside the EU.
The burden of responsibility for safe AI development and use, is on the shoulders of business leaders to ensure that they have robust risk, audit, control, ethics, remedial and monitoring processes in place.
When the Anekanta concept was created, we held a future vision and road map for the brand. We are delighted to announce that we are progressing our plan to the next stage.
Anekanta's founder and CEO is set to provide evidence at the UK's APPG AI Session on AI in the Boardroom 23rd January 5.30pm House of Lords
ChatGPT from Open AI can provide quite credible, human sounding answers to complex problems. We have tried it out with a range of specialised sector research questions. Find out what happened.
We continually contribute to the development of the communities which place the ethical and legal risks associated with high-risk AI at the top of the agenda.