AI Alignment Cricket-AI Ethical Alignment Tool

Example

In healthcare, AI Alignment Cricket would guide AI systems in making decisions that respect patient autonomy, confidentiality, and informed consent, ensuring AI recommendations in medical treatments align with both medical ethics and individual patient values.

Scenario

A scenario could involve an AI system that suggests treatment plans for patients. The system, aligned with AI Alignment Cricket principles, would evaluate not only the clinical effectiveness of each plan but also consider the patient's personal health preferences, lifestyle, and ethical considerations, ensuring recommendations are both medically sound and ethically aligned with the patient's values.

Example

In collaborative work environments, AI Alignment Cricket would mediate conflicts arising from AI-human interactions, ensuring resolutions that respect individual preferences and collective goals.

Scenario

Consider a project management AI that allocates tasks among team members. If conflicts arise, such as a team member feeling overburdened, the AI, guided by AI Alignment Cricket, would reassess task distributions, taking into account individual work capacities, personal commitments, and the overall project timeline to propose a fair and balanced workload distribution.

Example

AI Alignment Cricket would personalize AI services in entertainment, tailoring content recommendations not just based on user history but also ethical considerations and user consent.

Scenario

In a streaming service, an AI system might suggest movies or shows. With AI Alignment Cricket, this system would not only use viewing history but also incorporate user-set ethical filters (e.g., violence levels, thematic elements) and explicit consent for data use, ensuring recommendations are closely aligned with the user's preferences and ethical standards.