2. Fairness and Equity
For example, thetraining and test dataset for an AI system used in the education sector should be adequately representative of the student population by including students of different genders and ethnicities.
4. Human centricity
AI systems should respect human centred values and pursue benefits for human society, including human beings’ well being, nutrition, happiness, etc.
4. Human centricity
AI systems should respect human centred values and pursue benefits for human society, including human beings’ well being, nutrition, happiness, etc.
4. Human centricity
AI systems should be used to promote human well being and ensure benefit for all.
4. Human centricity
AI systems should not be used for malicious purposes or to sway or deceive users into making decisions that are not beneficial to them or society.