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Ten Workforce Skills For Finance Employees To Complement AI

AI is here and will be an increasingly prominent tool for many companies, big and small. For those working in financial positions, AI will take over manual data entry tasks and do financial forecasting using predictive analytics. AI will help you discover patterns in your financial data that you can use to take action. Your auditors will use an AI tool to compare transactions from prior periods to look for data irregularities. A finance person might first be introduced to machine learning by adopting an intelligent automation solution using a bot to vouch for supplier invoices in accounts payable. At first, bots will be able to take over tasks that can be easily automated. In the not-so-distant future, people will have coworking relationships with AI applications.

The following workforce skills will help you stay valuable in the era of AI:

  1. Complex problem solving: Technology will solve our simple problems. I saw early career success by proposing solutions for company problems. I hire people who put a high emphasis on problem-solving. AI will support human problem-solving efforts.
  2. Creativity: This helps employees find solutions when problem-solving.
  3. Openness to change: People will need to adapt to change, especially as technology advances at an ever faster pace.
  4. Collaboration: Working with other departments will require collaboration. This may be done by working with AI, as well as by working with people.
  5. Emotional intelligence: This is becoming a more recognized skill. Employees with high emotional intelligence use empathy and have an understanding of the emotional dynamics of a team. AI will have difficulty with this skill.
  6. Enthusiasm for diversity: Diversity needs to be authentic inclusion. It is not a checkbox but the recognition that your team will be stronger with various life experiences, cultural norms and experiences, thinking patterns, and approaches to problem-solving.
  7. Empathy: This is a key servant leadership principle, and it helps people cope with difficult situations and contributes to the concept of fairness. AI will not likely have the ability to empathize anytime soon.
  8. Good judgment: AI will be programmed by humans. You want employees to have good judgment to help guide ethical behavior of AI. Good judgment is a broad term that applies to many areas.
  9. Integrity: Integrity means being honest and having a strong moral character. As technology advances, there will be greater ethical challenges to come, and this skill helps prevent dishonest behavior in the workplace.
  10. People management: This is a critical skill as people are the heart of a company and good managers have an active interest in people. It is a talent that can be lacking in people who get promoted into management. AI will lack the ability to manage people effectively.

There are certainly more than 10 skills that complement AI, but this is a good list to get you to start preparing for the future. At this point, AI is really an advanced calculator that is dependent on lots of data to provide value. It will not easily acquire the skills listed above, and this is where humans provide value in the human-AI partnership.

The original article can be found here.

To support for AI technology and development for human-centric values, Michael Dukakis Institute for Leadership and Innovation (MDI) and Artificial Intelligence World Society (AIWS.net) has developed AIWS Ethics and Practice Index to measure the ethical values and help people achieve well-being and happiness, as well as solve important issues, such as SDGs. In this effort, Michael Dukakis Institute for Leadership and Innovation (MDI) invites participation and collaboration with 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.