AI@Work: Hey I Didn’t Say That?
I didn’t say you could use that either?
It’s impossible to talk AI without talking about privacy. Very little has been put into place to assure data privacy and restrict public access or use. There is also the issue of bias. One study showed that Google recommended higher paying jobs to men more often than to women. It’s time to consider regulatory and legal measures to assure that AI works for humans. This puts the spotlight on training and education. Companies and organizations need and will continue to need talent. The skills gap will increase as technologies continue to evolve. It is not just about new algorithms and systems; ultimately it’s about people. The threat to jobs is only partly about automation. Big changes will impact skills and job rolls, and will support training and retraining workers.
AI requires monitoring because it is moving so quickly. LLM (Large Language Models) and ML (Machine Learning) are all about what you say. High quality and consistent data is a must with an emphasis on how this technology affects human beings. From HR to the production floor there is a great emphasis on AI to support rapid change. There also needs to be a transparency and auditing as AI evolves because the impact on our workplace will be huge. The workplace and the educational system have to keep pace in a world that is changing and adapting new technologies very quickly. We have entered the world of everyday AI.
New technologies always bring upheaval and displacement. The workplace is transformed and rearranged. AI is certainly no exception to the rule. Business and capitalism is driving and will continue to drive the deployment of AI but humans need to be the voice that contributes to how AI is used.
When business processes change, it requires education and support. Change is not easy for humans. We need to become experts in risk management, flexibility and change. All areas where humans don’t usually excel. AI can also shine a light on areas of neglect within the company. Structures of organizations and internal systems that don’t connect and don’t communicate. Structures that require tedious and meaningless data entry and redundancy. Data is stored in silos: the financial systems, the HR systems, the customer support systems, etc. AI also has risk factors associated with its algorithms, programing and assumptions.
The nature of work is changing, and it is changing rapidly. Never underestimate the importance of human creativity and mental flexibility. Learning needs to be ongoing and complete. Ultimately it’s all about human talent. The future will require continued learning and relearning. Agile is about being awake, alert, vigilant and prepared. Agile is the key to our future. Get ready to learn!
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