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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.
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