Adoption of artificial intelligence (AI) technology has accelerated and continues to do so at a rapid rate. It has been projected that by 2020, AI will be a top-five investment priority. The Digital Insurance brought this interesting information to us in their article, “The ethical use of data for training machine learning technology.”
Data is used to train machines with AI technologies like machine learning. The question of ethics has arisen around whether the historical data used in training is embedding bias into the analysis and interpretation of machine learning. If, as history shows, there has been prejudice, racism and classism in our society, are we not directing the future by using that data in training? We are programming the algorithms to replicate injustices.
Many major technology corporations have launched AI ethics boards, however they not only lack diversity, but sometimes include powerful people with interests that don’t align with the ethics mission. The result is what some see as a systemic failure to take AI ethics concerns seriously.
Melody K. Smith
Sponsored by Data Harmony, a unit of Access Innovations, the world leader in indexing and making content findable.
