Anyword’s Responsible AI Principles

In the evolving digital landscape, where Artificial Intelligence (AI) plays a substantial and growing role in our lives, both as individuals and as a society, it is crucial for companies to outline guiding principles for the responsible use of AI. The following is a summary of the principles guiding Anyword in developing its AI products and services.

1. Accountability

– AI systems should undergo impact assessments to highlight potential effects and risks to individuals, organizations, and society.

– AI systems should be evaluated to ensure they perform according to their intended purposes.

2. Transparency

– AI decision-making processes should be interpretable to the extent possible, helping stakeholders make informed choices.

– AI systems should be accompanied by appropriate documentation, clearly outlining the systems’ capabilities and limitations, to foster stakeholder trust.

3. Fairness

– AI systems should provide equitable quality of service across diverse demographic groups, including marginalized ones.

– AI systems should mitigate outputs that disadvantage, demean, or erase demographic groups.

4. Reliability

– AI vendors should provide clear guidelines on the acceptable operational conditions in which AI systems are expected to be mostly reliable.

– Usage guidelines should document the expected malfunctions, errors, and error rates within these acceptable operational conditions.

– AI systems should be continuously monitored and evaluated to ensure their reliability and effectiveness and address unexpected malfunctions as soon as possible.

5. Privacy and Security

– AI systems should employ safeguards to ensure user data privacy and be secured against threats.