Building with trust and security
When evolving traditional software products into AI products, bias, explainability, accountability, and security considerations must be integrated into your design process so that you can avoid concerns in these areas after you re-launch. Bias can lead to the unfair treatment of users and unintended consequences that can hurt your brand and the product’s reputation. Explainability in AI product design will help create more trust with your current and potential users.
Reinforcing accountability when relying on AI-driven decisions gives your users confidence when interacting with your product. Bolstering your product with security protocols and ethical design practices will also help mitigate the risks associated with the misuse of the data that will be used in your AI systems. Let’s discuss these concepts in greater detail and the role they play in product design.
Bias
The perpetuation of bias with AI is a hot topic and it...
