Business leaders are doing more to understand artificial intelligence (AI) and its strategic use. In the last 12 months, between half and two-thirds of leaders said they had improved their understanding of AI. And while there is certainly a need for leaders to develop a more technical understanding of AI, there are also soft, non-technical skills they need to cultivate to thrive in the AI age. According to an Accenture survey, managers spend approximately 54% of their time on administrative tasks, such as planning and coordination. But as artificial intelligence becomes more and more capable of performing these tasks, leaders can redirect their attention to more complex, high-level responsibilities, such as employee development and development. innovative thinking However, these tasks require a change in the skills necessary to maintain their leadership roles, as well as their workforce. This is an overview of the skills leaders need to focus on to prepare their organizations for an AI-enriched future.
Critical and creative thinking.
While AI is capable of collecting and analyzing data faster than a team of employees, critical human thinking is critical to business success. Critical thinking is a general skill that uses knowledge, facts, and data to solve strategic problems and make decisions. This involves both logical reasoning and creativity, skills that AI cannot perform on its own, as the company's scenarios or tasks are often different and can evolve over time. Artificial intelligence enables organizational efficiency and productivity, but it is critical thinking and creativity that help leaders develop innovative business ideas and solutions. Business leaders must not only have strong critical and creative thinking skills, but must also be able to identify employees with similar skills. By the time AI takes over day-to-day tasks, employees with a keen sense of critical thinking play a key role, as they are better positioned to transition into new roles that require more human involvement. One of the best ways for leaders to develop critical and creative thinking skills, and to assess employees who possess those skills, is to assess critical thinking. These assessments consist of a series of online exercises to identify and help improve specific weaknesses. These assessments can even be used during the recruiting process to uncover critical thinkers and gauge how candidates can meaningfully help the organization.
Emotional intelligence and empathy.
Tech companies are working hard to develop "artificial emotional intelligence," or machines that can measure the emotional impact of their products or services. This is often done by recognizing, among other things, the movements of the face. However, machines cannot comprehend or comprehend human emotions beyond the surface level. In other words, they do not possess the emotional intelligence that only humans currently possess. Emotional intelligence is the ability to recognize and manage the emotions of oneself and others. It's a soft skill that is extremely valuable to anyone taking on a leadership role, as it helps people identify, assess, and manage their emotions in ways that make a positive impact. In other words, it helps people to interact with others in the most beneficial and appropriate way. According to Bill Mark, president of computer and information services at SRI International, whose AI team invented Siri, "we don't really understand emotion and we're a long way from having computers that really understand it." . I think we are even further from achieving artificial empathy. " In today's AI era, the ability to empathize can help leaders build trust and build positive relationships. A study by the Center for Creative Leadership surveyed more than 6,000 leaders and found that empathy is positively related to with job performance Managers who showed greater empathy for their employees were generally considered more successful When leaders can spend less time collecting and analyzing data (tasks that can be replaced by AI), they can spend more time on their emotional intelligence and how they do it.They can better manage, influence and build relationships with others.Leaders can seek expert advice in the form of workshops or courses on emotional intelligence, but they should also keep in mind that empathy is not something that can develop overnight The path to becoming a more empathetic leader often starts with being a better listener and trying to see things from the perspective of others first.ethical judgment
Conversations around AI are shifting from using technology to using technology. There is a significant gap between the pace of development of AI technology and that of regulation. Therefore, business leaders must take the initiative to monitor the ethical impacts of AI technology on their workplace, their customers, and their reputations. In a Deloitte survey of 1.500 US executives, 32% of organizations ranked ethical issues as one of Amnesty International's top three risks and priorities, but few leaders have yet identified specific approaches to address A a Moral dilemma. A humanistic approach and humane judgment are still needed in leadership decision making. The AI can make specific cost-saving recommendations or tactics, but leaders will still need to decide if these options align with the company's values, goals, and mission. Data is important, but it doesn't always tell the whole story. Today's leaders must not only ensure compliance, but also build a culture of “getting it right” while waiting for regulators. Today, many companies, such as Microsoft, Google, and Farmers Insurance, are implementing AI ethics frameworks and councils to oversee the governance of their applications and products. #39; AI. These initiatives often involve both executives and external ethics consulting firms to help them address business concerns and new ways to implement AI effectively and ethically. At a minimum, business leaders should consider developing a set of risk management guidelines to help their teams address transparency, interpretability, and risks of algorithmic bias. Before deploying artificial intelligence projects.
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