You want safe, secure, reliable and trusted AI
Operationalising AI Ethics is how you do it
I’m Nathan (Nate) Kinch.
I lead Applied AI Ethics for major corporations, governments and startups.
A few of the organisations I’ve worked with
“Put ethical data practices at the centre of what we do. Already delivering value!”
— Mike Hayley, VP, Research at Autodesk
“Nate produces incredible outputs with remarkably quick turnarounds.”
— Jesslyn Dymond, Director Responsible AI at TELUS
“Certainly one of the world’s leading figures on ethics in practical applications.”
— Fionn Delahunty, NLP Lab at University of Galway
This is more than the usual hype cycle
Significant advancements in recent years have resulted in what is close to an ‘AI in or / as everything’ mentality. AI ain’t going away. It is here to stay. But, as so many scholars and investigators have evidenced, AI comes with baggage, causes real harm and poses entirely unique risks.
So, how can we wisely navigate the path forward? How can we design systems that have aspirational goals (benevolence), consistently operate in alignment with their intended purpose (integrity) and do the real-world good they’re meant to do (competence)?
In other words, how can we design genuinely trustworthy AI systems?
Operationalising AI Ethics is the answer
Applied AI Ethics is the rigorous, deliberative, collaborative and embedded process of defining the values that matter, navigating the tension of real-world challenges and trade-offs, and informing the design of systems that are more than just safe, secure and reliable. Applied AI Ethics helps us design systems that are:
Net beneficial
Respecting of people’s rights and freedoms
Equity enhancing
In service of the common good
Leading us, as individuals and organisations, to act as the sort of person/s we would most like to be
Caring, responsible and relationally enriching
Applied AI Ethics uniquely helps us design systems that are worthy of our trust.
This is not a ‘one and done’ kind of thing. It’s a continuous process of reflection, observation and improvement, something that needs to become part of organisational culture and everyday practice.