Ethical AI matters
For me, ethical AI isn't just a checkbox; it's a principle. It's about ensuring that the technology we create serves the greater good.
Informed by public discussion
We commit to uphold industry best practice. AI output must be checked for accuracy. AI and its practitioners should not exploit, discriminate or harbor bias against any group of people.
The training and operation of AI models can have a major carbon footprint. We can't ignore the environmental impact of our technology. I'll seek ways to reduce the carbon footprint of any AI solutions I use.
Human oversight and control
AI shouldn't replace human judgment. It's a tool, not a master. Ethical AI means prioritizing human oversight, ensuring that our software reflects human values.
Human-centric design and collaboration
AI is not meant to replace human expertise or decision-making. I'll ensure that any AI solutions I utilize are designed to complement and enhance human capabilities, fostering collaboration and trust between humans.
Transparency and explainability
We can't trust what we don't understand. Black-box algorithms, where even the creators can't fully explain how they reach conclusions, are dangerous. Ethical AI means ensuring that solutions are transparent and explainable.
This is not an exhaustive list, but it represents a starting point, a commitment to continuous learning and improvement. By using these principles as a guide, we can harness the power of AI for good, ensuring that it serves as a force for progress, inclusivity, and environmental sustainability.