The AISC’s framework is applied to AI and other data driven solutions with the purpose of detecting and mitigating ethical and societal risks. The AI Sustainability Lens, integrating the technical, legal and societal perspectives, is used throughout the framework. The framework will give you a competitive edge by being proactive and use AI in a sustainable and responsible way. Are you interested in the AI Sustainability Center Framework?
The first phase of the AI Sustainability Center Framework is risk scanning which results in an AI Ethical risk profile. The AI Sustainability Center Ethical Risk Profiler provides an assessment of the current state of AI use cases, enabling the early identification of risks, as well as a baseline to raise an organization’s self-awareness of where risks could occur which, in turn, is fundamental in building better governance and controls around unintended pitfalls.
By applying the AI Sustainability Center Ethical Risk Profiler you:
Gain a competitive edge by learning to use AI and data-driven technologies in a sustainable way, acting ahead of the regulatory curve.
Proactively leverage the risk scanning profile as a health check for AI applications.
Ensure that your organization’s AI fundamentals are in place: transparency, explainability, accountability, and governance.
Would you like to request an AI Ethical Risk Profile?
Complete our mini risk scanning and receive an immediate response on your ethical and societal AI risk exposure.
› Tailored insights and research with multi- disciplinary teams customized to your industry, sector or AI challenge.
› Co-convening and possibility to innovate with others from companies, start-ups, regulators, policy makers, academia and civil society.
› Educational seminars, guest lectures, workshops and roundtable discussion with partners and stakeholders.
› Periodic updates on future standards, regulation and policy in Nordic countries, Europe and globally.
› A platform for engagement with like-minded, proactive organizations.
Company specific workshops and training around “understanding and implementing Sustainable AI”.
A report with recommendations based on company specific challenges and opportunities.
Implementation of AI Sustainability Framework starting with risk identification.
Prioritised next steps to become AI Sustainable.
Tailored research & testing, and piloting of different approaches.
Tailored teams and dedicated advisors support you.
