Toward a Clearer Process for Value Sensitive Artificial Intelligence

Key Points

• This analysis emphasizes the need for value sensitive design in artificial intelligence systems to address ethical concerns.
• Key findings reveal that implementing ethical frameworks can reduce algorithmic bias in AI applications and promote fairness.
• Assessment using stakeholder engagement approaches indicates that collaboration enhances the design of AI tools and their societal impact.
• Supporting value sensitive approaches in AI development may lead to more ethical technology that aligns with societal values.