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Dr. Katharina von Knop | Reduce fear of AI with neuropsychology | Rise of AI Conference 2023
Dr. Katharina von Knop explores how neuropsychology can help reduce fear of AI and build trust through simplicity, transparency, and consideration of human emotions and biases, empowering innovation and progress.
- Our brain processes information unconsciously, prioritizes, and reduces complexity, making decisions without us realizing it.
- Fear is a natural response to uncertainty, but it can be a good driver for innovation and change.
- Humans are risk-aware and have a strong need for control, influenced by historical experiences.
- Trust is a fragile concept that needs to be earned day by day and is based on transparency, accessibility, and reliability.
- Buildings trust in AI requires transparent communication of norms and easy-to-understand guidelines.
- Emotions play a crucial role in decision-making, and building trust requires considering emotional factors.
- Biases and assumptions can influence decision-making, and it’s essential to consider multiple perspectives and challenge these biases.
- Human decision-making is complex and influenced by multiple factors, including evolutionary adaptations and historical experiences.
- Fear can be a motivator for change and progress, but it needs to be balanced with positive messages and a focus on the benefits of innovation.
- Neuropsychology and evolutionary biology can be used to understand human decision-making and build trust in AI systems.
- Trust in AI requires simplicity and transparency in user interfaces and UX/UI designs.
- Fear can be linked to specific experiences and evolutionary adaptations, such as the fear of radiation or burglary.
- Human brains process information in different layers, including visual, auditory, and emotional processing, which can influence decision-making.
- Building trust in AI requires a focus on user needs, simplicity, and transparency, as well as ensuring that AI system design acknowledges human cognitive biases and limitations.
- Trust is essential for innovation and progress, as it enables humans to waive the risk-chances analysis and save energy.
- Neuropsychology and behavioral science can be used to design AI systems that are more intuitive and user-friendly.