According to Gemma Galdon Clavell, CEO and founder of Barcelona-based algorithmic auditing consultancy Eticas, “many AI early adopters… recognise the risks of AI systems – from unintended bias to explainability – and they are interested in adopting specific steps to help mitigate those risks”.
She added: “Unfortunately, even the most savvy adopters don’t know how. The good news is that even though Unesco’s draft is addressed primarily to policy-makers, AI’s early adopters would find sensible actionable steps that they can implement, including a broad deployment of algorithmic audits. Specific guidance on how to implement ethics is always a step in the right direction.”
Galdon Clavell previously told Computer Weekly that too many in the tech sector still wrongly see technology as socially and politically neutral – creating major problems in how algorithms are developed and deployed – and that most organisations using algorithms have very little awareness or understanding of how to address the challenges of bias, even if they do recognise it as a problem in the first place.
She did, however, add that companies are slowly starting to change their ways when it comes to developing algorithms with social impacts, with many beginning to view consumer trust as a competitive advantage.