Responsible AI for Developers & Businesses
What responsible AI actually means in practice for developers and businesses shipping AI features.
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- Bring your own work — code, campaign, report or plan
- Mentor matched to this topic
- Time, format and fee confirmed by email first
What this session would cover
Proposed outline — the mentor finalises the agenda once this topic is scheduled.
- 1Core principles: fairness, transparency, accountability and privacy
- 2Identifying who could be affected by an AI system
- 3Testing for bias and harmful output
- 4Being transparent with users about AI use
- 5Assigning accountability for AI decisions
- 6Practical steps for small teams
Who it's for
- • Developers, product owners and business leaders
- • Teams deploying AI features
You'd leave with
- A responsible AI checklist
- An impact assessment approach
- Transparency practices
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