As a generative AI Lerner, I am always looking for ways to address the ethical concerns (Such as Deep fakes, Inaccurate chat bots, Legal confusion, Hiring biases, etc) of this technology. Recently, I came across a framework proposed by Vilas Dhar, the president of the Patrick J. McGovern Foundation, that I believe can be helpful.
Dhar's framework is based on three pillars:
- Responsible data practices: This means ensuring that generative AI systems are trained on data that is representative and unbiased. It also means taking steps to protect the privacy of individuals whose data is used to train these systems.
- Well-defined boundaries on safe and appropriate use: This means developing clear guidelines for how generative AI systems can be used. These guidelines should take into account the potential risks and benefits of generative AI, as well as the ethical considerations.
- Robust transparency: This means ensuring that generative AI systems are transparent about how they work and how they make decisions. This will help to build trust and accountability.
I believe that these three pillars provide a solid foundation for ensuring the ethical development and use of generative AI. I am sharing this framework with you in the hope that it will be helpful to you in your own work.
In addition to the three pillars mentioned by Dhar, I would also add the following ethical considerations to the list:
- Accountability: It is important to be able to hold those who develop and use generative AI accountable for their actions. This means having clear rules and regulations in place.
- Diversity and inclusion: It is important to ensure that generative AI systems are not biased against certain groups of people. This means using data that is representative of all groups of people and avoiding discriminatory algorithms.
- Sustainability: It is important to use generative AI in a way that is sustainable for the environment. This means considering the energy and resource requirements of generative AI systems.
I believe that by taking all of these ethical considerations into account, we can ensure that generative AI is used for good and not for harm.
