Future-proof your AI in an increasingly unethical world and maintain your most valuable consumer commodity; trust.

It can be easy to be blinded by the potential to revolutionise how we work and skip over the risks and considerations that can be devastating to a businesses reputation. In an increasingly digital, automated and inauthentic world, trust is a huge commodity that can’t be brought and AI as a technology carries significant ethical considerations. 

While some might see these as hurdles to be addressed later, the wise among us understand that ethics must be at the core of any AI project from day one. Ethics are not just a philosophical concept, but a practical tool that informs our actions in all aspects of life; the importance of which cannot be overstated, especially in our increasingly interconnected and complex world.

Ethical frameworks, particularly in technology, guide people and organisations in developing innovations that serve humanity without causing harm or perpetuating inequality. They create a framework for better decision making especially in complex situations and crises where it may be difficult to choose the right course of action.

The fact of the matter is that crises and complex situations are inevitable. Paule Virilio, the French cultural theorist who is known for his work on technology and its impact on society said "The invention of the ship was also the invention of the shipwreck."  Virilio posits that every technological advancement brings with it its own set of "accidents" or negative consequences. In other words, the problems or negative aspects of a technology are inherent in its creation; they are not aberrations but rather a part of the technology's existence.

If you're involved in any capacity with AI, you should be concerned with establishing ethical guidelines right at the outset to guide best practice and engagement with the technology, while also planning for what Viriio calls ‘integral accidents’.

Planning to Succeed

Starting an AI project without clear ethical principles is like building a ship without considering how to make it water-tight. It might hold up for a while, but the leaks will inevitably appear, and they’ll increase and heighten the risk of sinking over time. Ethical considerations form the bedrock of responsible AI use. Companies that integrate ethics from the get-go not only protect themselves from future risks but also gain a competitive advantage by earning trust and ensuring fairness and transparency.

Future-Proofing Your Project

While technical milestones are critical, overlooking ethics can expose your project to risks ranging from regulatory penalties to public backlashes. By adopting ethical principles early on, you not only future-proof your project but also open up avenues for innovation. Ethical considerations often require us to think more creatively about problem-solving, thereby resulting in more robust and resilient solutions.

Ethics Takes a Village

Ethics in AI isn't a one-person job or a box to check off. It's a collective responsibility that should address all users and cater to all stakeholders. As the philosopher Immanuel Kant said, we should act according to standards that we'd wish to see universalised. This collective approach creates a shared understanding and commitment to ethical considerations that pervade the entire lifecycle of the AI project.