As the influence of artificial intelligence grows, it is increasingly vital to design processes and systems to harness AI while counterbalancing risk. Our charge is to eliminate bias, codify objectives and represent values. Responsible AI ensures alignment to our standards spanning data, algorithms, operations, technology and Human Computer Interaction.
The focus of this article, impartiality, is one of six foundational elements of a responsible AI model that I recently defined for organizations to use:
1. Accountability
2. Impartiality
3. Resilience
4. Transparency
5. Security
6. Governance
I am examining the importance of each of these elements in a series of articles. This second component of responsible AI, impartiality, has deep historical roots and myriad future implications that we’ll explore in more detail.
Continue reading: https://www.forbes.com/sites/forbestechcouncil/2021/11/15/how-to-build-responsible-ai-step-2-impartiality/?sh=6cc9c9acee80
The focus of this article, impartiality, is one of six foundational elements of a responsible AI model that I recently defined for organizations to use:
1. Accountability
2. Impartiality
3. Resilience
4. Transparency
5. Security
6. Governance
I am examining the importance of each of these elements in a series of articles. This second component of responsible AI, impartiality, has deep historical roots and myriad future implications that we’ll explore in more detail.
Continue reading: https://www.forbes.com/sites/forbestechcouncil/2021/11/15/how-to-build-responsible-ai-step-2-impartiality/?sh=6cc9c9acee80
