Session Outline
Success in AI systems requires more than technical rigour and performance. A strong human element behind the widespread adoption of innovative solutions is trust. In this talk at the Data Innovation Summit APAC 2023, we explore the current status of public trust in AI around the world. What drives it, and what are the practical considerations to create more trustworthy AI systems?
Key Takeaways:
- Public trust is a key factor in AI acceptance and its widespread adoption.
- Although there is a positive trend, still the level of public trust in AI is not high.
- Based on a 2022 international study across 17 countries, there are 4 key drivers of trust and acceptance of AI systems (list and details in the presentation)
- A practical way to build more trustworthy AI systems is through a multi-dimensional model (usually each narration of the responsible AI might focus only on a few)
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