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IBM AI design presentation recording
Everyday ethics for AI provides discussion points concerning:
- specific virtues that AI systems should possess;
- guidance for designers and developers training and building AI.
Focal areas include:
- Accountability
- Value Alignment
- Explainability
- Fairness
- User Data Rights
Accountability
- AI designers and developers are responsible for considering AI design, development, decision processes, and outcomes.
- Human judgment plays a role throughout a seemingly objective system of logical decisions. It is humans who write algorithms, who define success or failure, who make decisions about the uses of systems and who may be affected by a system’s outcomes.
- Every person involved in the creation of AI at any step is accountable for considering the system’s impact in the world, as are the companies invested in its development.
Value Alignment
- AI should be designed to align with the norms and values of your user group in mind.
- AI works alongside diverse, human interests. People make decisions based on any number of contextual factors, including their experiences, memories, upbringing, and cultural norms.
- Today’s AI systems do not have these types of experiences to draw upon, so it is the job of designers and developers to collaborate with each other in order to ensure consideration of existing values. Care is required to ensure sensitivity to a wide range of cultural norms and values.
Explainability
- AI should be designed for humans to easily perceive, detect, and understand its decision process.
- In general, we don’t blindly trust those who can’t explain their reasoning. The same goes for AI, perhaps even more so.Your users should always be aware that they are interacting with an AI. Good design does not sacrifice transparency in creating a seamless experience. Imperceptible AI is not ethical AI.
Fairness
- AI must be designed to minimize bias and promote inclusive representation.
- AI provides deeper insight into our personal lives when interacting with our sensitive data. As humans are inherently vulnerable to biases, and are responsible for building AI, there are chances for human bias to be embedded in the systems we create. It is the role of a responsible team to minimize algorithmic bias through ongoing research and data collection which is representative of a diverse population
User Rights
- AI must be designed to protect user data and preserve the user’s power over access and uses.
- Pew Research recently found that being in control of our own information is “very important” to 74% of Americans.
- The European Commission found that 71% of EU citizens find it unacceptable for companies to share information about them without their permission.
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