According to a recent World Economic Forum report, 50% of all employees will need reskilling by 2025. In the U.S. government alone, 18.2% of the federal government retired in 2020. Another 34% will be eligible for retirement by the fiscal year 2023. Our workforce demands are urgent.
Emerging technologies such as artificial intelligence (AI) and machine learning (ML) are increasingly adopted even without our knowledge. Their potential seems limitless. Jobs in AI range from data scientists and subject matter experts to data engineers and data analysts to economists, technical writers and ethicists. With this new frontier and the fact that these tools touch every aspect of our lives, leaders across the workforce spectrum see this as an all-hands moment.
In anticipation of this major workforce pivot, federal government leaders collaborated with Harvard, Johns Hopkins, the Naval Postgraduate School, NavalX and hundreds of industry and government stewards. Through the American Council for Technology and Industry Advisory Council (ATC-IAC), the AI Working Group met for the last two years to develop the following frameworks to help U.S. government agencies adopt, implement and educate AI technologies as well as evaluate ethical outcomes of AI.
At every stage, it is necessary to question everything relating to the consumption of AI. These four guides serve as valuable tools to help lead government and industry on bias, fairness, transparency, responsibility and interpretability of AI.
The article was originally published at Forbes.
To support for AI technology and development for social impact, Michael Dukakis Institute for Leadership and Innovation (MDI) and Boston Global Forum (BGF) has established Artificial Intelligence World Society Innovation Network (AIWS.net). In this effort, MDI and BGF invite participation and collaboration with governments, think tanks, universities, non-profits, firms, and other entities that share its commitment to the constructive and development of full-scale AI for world society. This initiative is to develop positive AI for helping people achieve well-being and happiness, relieve them of resource constraints and arbitrary/inflexible rules and processes, and solve important issues, such as SDGs.