Beyond compliance. strategies for transformational and responsible ai
using ai responsibly has to be about more than managing risk
AI faces an increasingly complex regulatory landscape
But AI advisory firms are making Responsible AI about compliance
But AI advisory firms are making Responsible AI about compliance
Despite common concerns about AI risks, a variety of regulatory approaches are emerging.
These range from the EU AI Act's risk-based approach, the US relying on guidance, to the UK's 'pro-innovation' model that focuses on existing regulation.
Such differences will likely remain as the debate about AI becomes increasingly polarised between techno-optimists vs pessimists.
Many executives are thus asking how best to navigate this complex landscape.
But AI advisory firms are making Responsible AI about compliance
But AI advisory firms are making Responsible AI about compliance
But AI advisory firms are making Responsible AI about compliance
Consultancies new and old are offering to help organisations navigate this regulatory complexity.
However, the vast majority are focused on identifying and managing the risks of AI.
They aim to create AI policies and then help organisations comply with these policies.
Such policies are important, but on their own suggest that a responsible approach to AI is a burden to be managed.
Responsible AI must also drive Transformational AI
But AI advisory firms are making Responsible AI about compliance
Responsible AI must also drive Transformational AI
Some of the most successful brands have transformed their respective industries by taking a responsible approach.
Examples include Apple and privacy, Volvo and safety, and Patagonia and the environment.
Indeed, more ethical brands demonstrate stronger financial performance.
Whether business, not-for-profit, or government, organisations that want to use AI to help them thrive need a strategy for transformational and responsible AI.
HOW daedalus futures CAN HELP
Full strategy development
- A full strategic review of your organisation that aims to maximise its potential to use AI, through effectively balancing the benefits and risks within a responsible approach.
- Includes: refinement of vision, mission, and ethical principles; development of an organisational plan, including value proposition and objectives; ensuring implementation by aligning incentives, structures, and communications; and recommendations for governance.
Focused deep-dive
- Many organisations already have the core elements of their AI strategy in place, whether that be a set of ethical principles, or a revised commercial strategy.
- However, sometimes these elements aren't quite aligned, for instance it's not uncommon for organisations to have ethical principles that remain largely un-operationalised.
- Daedalus Futures can help your organisation make the most of your AI strategy through judicial refinements, such as aligning your ethical and commercial strategies or identifying and managing trade-offs between ethical principles.
Rapid reviews
- Some organisations either don't require or don't have the time for in-depth strategic support. What they are looking for is rapid support to solve an immediate problem.
- This might be to create a framework for assessing the potential benefits and risks of using new AI tools, such as a Generative AI-based tool.
- Alternatively, an organisation might simply find it helpful to have a quick check-up to assess its readiness for new regulations such as the EU AI Act.
Fractional Chief [X] Officer
- Not every organisation can afford a full time Chief Ethics Officer or Chief Strategy Officer, even if they can see the strategic value of taking a responsible approach to developing and deploying AI in order to maximise its transformational impact.
- Daedalus Futures can be a part-time C[X]O for your business.
- This can be particularly useful as an organisation seeks to develop or refresh its AI strategy.