Meet the Team

1. RESPONSIBILITY

1.1. System developers and operators must prioritize user welfare and ensure the recommender system serves their needs and preferences accurately.

1.2. Developers and operators must consider the potential consequences of their recommendations and ensure that the system does not promote harmful, illegal, or malicious content.

1.3. Developers and operators must monitor and maintain the recommender system, addressing any concerns or malfunctions in a timely manner.

1.4. Developers and operators must strive to improve the system continuously, incorporating user feedback and considering the broader social and environmental implications of their work.

2. RESPECT

2.1. User privacy and consent must be prioritized, ensuring that data collection and usage practices are transparent and adhere to applicable laws and regulations.

2.2. Recommender systems should respect user preferences and boundaries, avoiding intrusive or unwanted recommendations.

2.3. Recommender systems must be sensitive to cultural, social, and individual differences, ensuring that the content recommended is respectful and appropriate for diverse audiences.

3. FAIRNESS

3.1. Recommender systems must avoid discrimination and bias, treating all users equitably and ensuring that recommendations are impartial and objective.

3.2. Developers and operators should actively work to identify and mitigate any existing biases within the recommender system, including those originating from data sources or algorithms.

3.3. Recommender systems should promote diversity and inclusion, offering content and recommendations that represent a wide range of perspectives, backgrounds, and interests.

4. HONESTY

4.1. Developers and operators must be transparent about the recommender system's functionality, limitations, and potential biases, enabling users to make informed decisions.

4.2. Recommender systems must not manipulate or deceive users by prioritizing sponsored or promoted content without clear and conspicuous disclosure.

4.3. Developers and operators should be open to feedback and criticism, fostering a culture of accountability and continuous improvement.

5. Mandatory Standards

5.1. All recommender systems must adhere to applicable laws, regulations, and industry best practices, prioritizing user safety and welfare.

5.2. Developers and operators must ensure that their recommender systems do not facilitate or encourage any form of illegal activity, discrimination, or harassment.

5.3. Regular audits and assessments should be conducted to ensure compliance with these ethical standards, and appropriate corrective actions should be taken when necessary.