Artificial Intelligence (AI) is considered top strategic technology in many organisations due to its ability to transform, automate and analyse huge amounts of data. Despite its potential, there are serious concerns about its ability to behave and make decisions in a responsible way.
Compared to traditional software systems, AI systems involve a higher degree of uncertainty and more ethical risk due to autonomous and opaque (black box) decision making. Ethical issues can also occur at any stage of the AI development lifecycle - from planning right through to monitoring.
We have evaluated the effectiveness and limitations of existing AI risk assessment frameworks to provide advice for companies looking to develop responsible AI.
Tasking a risk-based approach to operationalising responsible AI
Our comprehensive analysis includes well-defined responsible AI (RAI) principles, RAI stakeholders, AI system lifecycle stages, applicable sectors and regions, risk factors, and reusable mitigations.
These include an evidence-based guidance catalogue for operationalising responsible AI in your company, as well as an ethical risk assessment tool for risk assessments against AI ethics principles.
Companies looking to co-develop innovative tools and technologies to address responsible AI issues and opportunities can partner with us in a number of different ways to access and develop specialised solutions.
Artificial Intelligence (AI) is considered top strategic technology in many organisations due to its ability to transform, automate and analyse huge amounts of data. Despite its potential, there are serious concerns about its ability to behave and make decisions in a responsible way.
Compared to traditional software systems, AI systems involve a higher degree of uncertainty and more ethical risk due to autonomous and opaque (black box) decision making. Ethical issues can also occur at any stage of the AI development lifecycle - from planning right through to monitoring.
We have evaluated the effectiveness and limitations of existing AI risk assessment frameworks to provide advice for companies looking to develop responsible AI.
Tasking a risk-based approach to operationalising responsible AI
Our comprehensive analysis includes well-defined responsible AI (RAI) principles, RAI stakeholders, AI system lifecycle stages, applicable sectors and regions, risk factors, and reusable mitigations.
These include an evidence-based guidance catalogue for operationalising responsible AI in your company, as well as an ethical risk assessment tool for risk assessments against AI ethics principles.
Companies looking to co-develop innovative tools and technologies to address responsible AI issues and opportunities can partner with us in a number of different ways to access and develop specialised solutions.
AI risk assessment tools and resources
Partner with us or access resources through our partnership with the Responsible AI Network