HAL: I’m sorry, Dave. I’m afraid I can’t do that

– Stanley Kubrick & Arthur C. Clarke :: 2001: A Space Odyssey

Remember Dr. David Bowman from Stanley Kubrick’s seminal masterpiece, ‘2001: A Space Odyssey’? Many of us might soon find ourselves in Dr. David Bowman’s shoes, facing successors of HAL 9000 who calmly intone and reject our commands. Call us dramatic, but at Data Yakka, we hold the conviction that without proper checks on Generative AI, we edge closer to birthing our very own HAL 9000.

So, what does Trustworthy and Ethical AI mean to us?

Firstly, it’s not just a well-written utopian framework filled with ambitious technical controls that remain only on paper. At Data Yakka, we don’t just ponder the implications; we arm your LLM-powered applications with Trustworthy and Ethical AI toolkits from the get-go. Let’s elaborate:

For every solution we implement
Every service we design,
Every product we build,
And every block of code we write, we measure them against these values:

Privacy: Trustworthy AI should ensure that users control how their data is used and the resulting decisions.

Fairness: Systems must be designed to minimise biases and protect human workers from exploitation and undue stress.

Trust: Individuals need agency over their data and AI’s decisions, especially when misinformation or radicalisation risks arise.

Safety: AI systems should be safeguarded against malicious exploitation while considering environmental impacts.

Transparency: Decisions made by AI must be clear and understandable to prevent potential harm.