Leadership in the Age of Artificial Intelligence
By Mario A. Beroes Ríos – IT Business Solutions.
In these times of AI, there will increasingly be systems offering us on-demand answers and assistants filling us with suggestions, based on the analysis their algorithms extract from data.
Largely leading will mean being more capable of thinking than mimicking. It will mean constructing our own arguments and creating our own logic, based on the observation of our clients, or those we want to serve.
Leading in the Age of AI
Leading will involve being able to propose inspiring questions, pertinent questions, pivotal questions. Leading will sometimes mean contradicting the “mainstream” being proposed to us and exploring innovations that challenge the logic of machines.
Integrating leadership into AI solutions is key to achieving success or excelling in the given task. For this, it is important to have a strategic vision that establishes clear objectives, since Artificial Intelligence is not just technology, but a powerful tool to improve processes and generate impact.
Another aspect, and perhaps the most important because it involves the individual, is operating with ethical criteria. That is, applying AI with responsible criteria. All strong leadership promotes transparency, fairness in the use of data, and the protection of privacy, and must ensure that AI is reliable and beneficial for all.
AI is not just a scientific and data matter. Integrating perspectives from experts in various fields allows for the development of more effective solutions adapted to reality, which leads us to continuous learning. An AI leader fosters constant training and learning within their team to stay up to date with best practices and technological advancements.
Finally, implementing AI involves changes in processes and roles. Effective leadership helps manage this transition, ensuring that people understand how AI can improve their tasks without replacing their human value.
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