With their deep technical understanding and experience, our AI team is well-equipped to build and implement the technology. However, our real differentiator is that we ensure it aligns with your organisation’s ways of conducting business and we make sure the output of your AI algorithm reflects your company’s values.
It’s often overlooked that AI is fed by data, and if the data that goes into training the algorithm is flawed, the output is flawed. Putting it crudely, garbage in, garbage out.
Okay, we’re not saying your data is garbage. But it does need to be fully assessed to remove any historical bias, which can result in, at best, incorrect information being given by the AI, and much worse, biased or prejudiced outputs.
Yes that’s a bit of a terrifying thought. But that’s what we’re here for, making sure you’re using the right data to feed your AI implementation to mitigate these risks.
At Elemental Concept, we’ll assist you in developing a data strategy that eliminates historical bias and prejudice, aligning with your business values. We’ll then build on this, using AI tools to propel your business to the next level.
A robust ethical framework will shape your organisation’s AI deployment strategy, to make sure the technology aligns with your company’s core values and objectives and removes bias. If that sounds complicated or overwhelming, don’t worry. We’ll make it easy for you.
Our four part process involves the following steps:
The first thing we need to do is to fully understand your organisation’s goals and values, an important foundation to set the stage for how AI will be used to support your overall mission and vision.
By understanding this, we can help you better handle the complexities of AI integration, helping you to make decisions that follow your ethical standards and long-term goals.
Once your values are clearly identified, these can be translated into “ethical or soft” performance indicators, measurable benchmarks that gauge how well AI implementation can align with your organisation. Essentially, this is about making sure the output of any artificial intelligence implementation reflects the correct values for your business.
We then take a close look at your organisation’s operations, data assets, and activities, assessing them against these performance indicators. This assessment checks that all AI applications are carefully evaluated for ethical considerations like fairness, transparency, accountability, and privacy.
Essentially, it’s a big data vetting exercise to remove bias, to ensure your AI implementation is fair for all.
Knowledge is power, and all of that jazz.
We will share the findings and provide a recommendation report from this assessment.
This will enable you to identify and fill in any ethical shortcomings, and to make well-informed decisions about the implementation of AI.
