Startups have different needs and constraints when it comes to Responsible AI than established companies. With limited resources for evaluation and implementation, startups require fast efficient and ongoing assessment of their AI activities in a rapidly evolving environment.
AIEthica offers the Startup RAI Package, which has been carefully designed to meet the specific needs of startups. This package provides key Responsible AI assessment criteria in a concise, proven format, fine-tuned for startups with limited time and resources. It includes a comprehensive set of services, available at a fixed price, that includes the following steps:
1. Definition of the Code of Conduct
2. AI risk and impact assessment
3. Pre-assessment of AI Act risk category
4. Data Governance
5. Monitoring Services
The AI risk and impact assessment activity gives a high-level view of the development or deployment of AI applications. It provides an initial assessment of the risk profile and potential hazards associated with an application. Critical considerations include the use of personal data, the social context, stakeholders, and the accountability structure.
The EU AI Act, set to regulate AI in the European Union, is primarily based on a risk category scheme. The regulation mainly targets applications that are considered 'high risk', with most of the regulatory measures directed towards this category
While a final risk classification is yet to be determined, it is recommended that a pre-assessment of risk be initiated now, as many factors associated with high-risk applications are already identifiable. An early assessment will streamline future processes, which is particularly beneficial for startups operating in time-sensitive environments. The following activities are part of this process:
Data are at the core of any AI application. Therefore, data management, accountability, risk mitigation, and privacy are also key activities on the path to Responsible AI. while many data-centric startups already have some kind of data management in place, Responsible AI requires additional efforts to be implemented in the process, such as the right of users to have their data deleted, which is not an easy issue to solve in most data management structures. The fourth section of the Startup Package consists of the following components:
AIEthica is partnering with QuantPI, a leading platform for AI trust, to provide AI governance throughout the operational phase of AI applications. QuantPi facilitates continous monitoring and risk management of AI applications throughout their lifecycle.
QuantPi stands out as the only monitoring and risk management solution for AI that enables the direct translation of regulations such as the AI Act and others into operational evaluation metrics.
Trust Profiles enable the acceleration and operationalisation of all requirement for AI models and systems, regardless of whether the AI was built or procured. This provides AI Ethics, risk, compliance or business personas with an automated tool to govern AI models at scale without disrupting production.
Whether you're embarking on an AI project, looking for employee training or wish to implement model risk management, we're here to assist. Just get in touch.