AYME: Ethical Challenges of A.I. Part Two

Are You Morally Engaged?

Continuing our discussion on moral practices of Artificial Intelligence.

Organizations should be accountable for their products or effects on societies with or without AI. Likewise, organizations cannot ignore the advances of AI. AI can assist their operations and competitive edge. Bossmann (2016) discusses several factors to consider about implementing AI; the first is the availability of jobs and wealth distribution. Living in China is very different from living in the US; for example, in the US, people clean up after themselves in fast food-style restaurants, but in China, if you do that, it isn't very kind and takes someone's job away. The next issue could be humanity vs. dehumanization. The AI bots may seem rigid now, but some AI bots converse with humans more naturally. If the AI is programmed well, it can guard against bias, racism, and silly human error. Ironically, AI programming is by humans and still needs to be overseen (Bostrom & Yudkowsky, 2014). Then, they can add to or infringe on personal security, depending on how much you share.

Most importantly, we must consider what can benefit society can also bring harm under the wrong motives. It is important to remember that AI is a tool and not a master. As leaders, we must ensure that we take moral and ethical measures. We all use some form of AI, from Grammarly-type programs to essential smartphone functions. How can your organization implement AI technologies with moral and ethical practices?

References:

Bossmann, J. (2016, October 21). Top 9 ethical issues in artificial intelligence. World Economic Forum. https://www.weforum.org/agenda/2016/10/top-10-ethical-issues-in-artificial-intelligence/

Bostrom, N., & Yudkowsky, E. (2011). The Ethics of Artificial Intelligence. Cambridge University Press. https://nickbostrom.com/ethics/artificial-intelligence.pdf