1. Fair AI
fair AI
1. Fair AI
We seek to ensure that the applications of AI technology lead to fair results.
1. Fair AI
This means that they should not lead to discriminatory impacts on people in relation to race, ethnic origin, religion, gender, sexual orientation, disability or any other personal condition.
1. Fair AI
We will apply technology to minimize the likelihood that the training data sets we use create or reinforce unfair bias or discrimination.
1. Fair AI
We will apply technology to minimize the likelihood that the training data sets we use create or reinforce unfair bias or discrimination.
1. Fair AI
We will apply technology to minimize the likelihood that the training data sets we use create or reinforce unfair bias or discrimination.
3. Human centric AI
We are concerned about the potential use of AI for the creation or spreading of fake news, technology addiction, and the potential reinforcement of societal bias in algorithms in general.
4. Privacy and security by design
When processing personal data, according to Telefónica’s privacy policy, we will at all times comply with the principles of lawfulness, fairness and transparency, data minimisation, accuracy, storage limitation, integrity and confidentiality.