Menu
Regulators are looking at new ways to control and assess AI models because AI systems’ eventual failures and weaknesses may have dramatic consequences. Potential harms may be caused to individuals, society, your organisation or an entire ecosystem. For example, it can have an impact on civil rights and freedoms, discrimination towards sub-groups, your organisation’s reputation, or the public trust.
Various countries have implemented, or are looking at implement, new regulatory frameworks that apply to AI systems. As organisations around the world adapt to the GDPR, organisations may need to consider the requirements of the EU AI Act or US Executive Orders.
The steps in developing an AI system – building, feature engineering, training, testing and validation –can be assessed based on:
Conducting AI risk assessments is crucial to managing the potential risks of artificial intelligence within your business processes. In addition to data protection impact assessments, we help you ensure the right expertise and resources are in place for thorough AI model evaluations. This includes assessing AI applications, decision-making processes, and data processing to meet regulatory compliance and business objectives.
Our approach to responsible AI strengthens your organisation’s security posture while aligning with risk frameworks to manage AI technologies effectively within your business operations.
We provide a full data protection and information governance consultancy service to all our clients who engage with us. We provide flexible packages and services to make sure that you only pay for what you need, so you aren’t paying for unnecessary services. Whatever you and your organisation need, we are here to help.
