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Online safety by design: towards user-centric development of safer AI-based systems
Thomas Baldwin-McDonald1, Amir Fard1, David Fletcher1
1Ofcom , London, SE1 9HA, UK.
Summary
Prioritizing end-user safety and security in artificial intelligence (AI) system design is crucial for minimizing harm. User awareness of trust and safety issues also incentivizes online services to enhance user well-being.
Area of Science:
- Artificial Intelligence
- Online Services
- Cybersecurity
Background:
- AI systems are increasingly integrated into online services, raising concerns about user safety and security.
- Existing regulatory frameworks are necessary but may not fully address the evolving risks associated with AI.
- Growing user awareness of trust and safety issues presents an opportunity for service providers to proactively enhance user well-being.
Purpose of the Study:
- To advocate for placing end-user safety and security at the core of AI system design and development.
- To explore the interplay between regulatory frameworks, user awareness, and provider incentives in ensuring online safety.
- To examine the relationship between AI in online services and potential risks of harm, alongside mitigation strategies.
Main Methods:
- This opinion piece presents a viewpoint on AI safety and security.
- It includes an overview of AI applications in online services and associated risks.
- Discussion of harm mitigation techniques, future challenges, and opportunities is provided.
Main Results:
- AI system design must prioritize minimizing risks of harm to end users.
- User awareness of trust and safety issues acts as a significant incentive for online service providers.
- Diversity in users, devices, and platforms impacts AI-based system experiences.
Conclusions:
- A user-centric approach to AI development is essential for online services.
- Balancing regulatory requirements with user-driven demand for safety is key.
- Addressing diversity is critical for equitable and safe AI experiences.