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The work of the work as we know that it is about to change, with the agents – “The following boundaries of artificial intelligence-He was appointed to increase human decisions forever. At the beginning of the year, BCG AI Radar Global Survey Survey One -third of the companies have already said and exploring artificial intelligence agents.
We are approaching a new base where artificial intelligence systems can handle our natural language claims and make decisions independently, such as the responsible employee. They have the ability to provide solutions to highly complex use situations through industries and commercial fields, and assume heavy employment tasks or qualitative and quantitative analysis. But not consumed by the Distolical, human beings and machines can be Takaful relationship.
Agency AI can act as a specialized virtual assistant, explode through data, work via platforms, learning from operations and producing visions or predictions in actual time. But similar to the new recruitment, artificial intelligence agents ask for a large test, training and guidance before they can work effectively. Therefore, humans will act as polites, it can be said that it occupies a more supervisory role. For example, we must ensure commitment to the central government framework, maintaining moral and security standards, enhancing the pre -emptive response to risks and decisions compatible with the strategic goals of the broader company.
Artificial intelligence systems are vulnerable to errors and abuse of use that require the need for “human” control mechanisms. This human accountability of agent systems is necessary to achieve a balance between autonomy while mitigating the risks. Therefore, how can institutions decide how to use these mechanisms and which cooperative frameworks that must be developed? As a founder of the digital transformation and the development of products that operate in Amnesty International, companies help companies, automation and size, here are a short guide.
1: Enabling your workforce with artificial intelligence fluency
AI Upskilling is still very unique to organizations. Did you know that less than a third of companies have trained up to a quarter of their employees to use artificial intelligence? How do leaders expect that employees feel that they are able to use artificial intelligence if education is not presented as a priority?
Maintaining a smart worker and knowing is very important, which enhances a culture that embraces technological change. The team’s cooperation in this sense can take a regular training form on AIGEC AI, highlighting the strengths and weaknesses of it and focusing on the successful human cooperation. For the most firmly established companies, the training -based training courses can successfully appear in different capabilities and roles to use artificial intelligence appropriately.
Executive managers must ensure that there is a mechanism for a counter -nutrition to improve this human cooperation. By making employees participate actively in determining error and mitigation, they can develop a position of appreciation towards advanced technologies while seeing the importance of continuous learning.
Artificial intelligence also comes from cooperation through departments and specialists; For example, between engineers, artificial intelligence and developers. Knowledge and concerns should share the effective manufacturer intelligence in the workflow. In order for your workforce to feel, there must be a change in the mentality: we do not need to compete with artificial intelligence, and we (our cognitive capabilities) develop with it.
2. Reduced your workflow around Agency AI
According to the hadith McKinsey SurveyThe redespings of the work of the IP of the IBIT is the most important effect on the profits before the benefits and taxes (EBIT) in organizations of all sizes. In other words: AI comes the real value of AI when companies renew how they are operating.
For example, executive managers whose companies have often adopt a great value of artificial intelligence projects a targeted approach. VPS usually focuses on product or engineering on a limited number of AI’s major initiatives at any specific time, rather than spreading resources in a thin way. The strategy includes dedication to raising the level of reform, as well as a comprehensive reform of basic commercial operations and aggressive expansion, while monitoring financial and operational performance.
Although it is not possible to leave the machines completely unlikely and humans can stay at the top of data processing in actual time, the continuous cooperation of the human-AA may not be the answer to everything when redesigning the workflow. For example, researchers at the Massachusetts Institute of Technology for Collective Intelligence found a more effective mixture; Or sometimes, only Humans – or just Amnesty International – alone. Participating authors have found a clear division of work: people excel in sub -tasks that require “understanding of context and emotional intelligence”, while artificial intelligence systems flourish when sub -tasks are “frequent, high or data driven.”
3. Developing new roles “supervision” artificial intelligence
Although Gen AI will not significantly affect the workforce volumes of organizations in the short term, we are still expecting a development of the addresses and responsibilities of roles. For example, from service processes and product development to artificial intelligence ethics and verification of the authenticity of the artificial intelligence model.
For this transformation to successfully, the purchase at the executive level is very important. Senior leaders need a clearly specific strategy at the organization level, including a team for payment of GEN AI. We have seen that when senior leaders delegate the integration of artificial intelligence only to information technology teams or digital technology teams, the context of the work can be neglected. Therefore, business leaders must be more active; For example, they can play roles such as the supervision of artificial intelligence governance to ensure moral and strategic compatibility.
Upon employment, business leaders must search for candidates: 1) ADEPT in the typical bias test to ensure accuracy and identification of problems early in developing artificial intelligence; And 2) It is experienced in cooperation through excitement, to ensure the solutions of artificial intelligence all the needs of the team. If you are SVP or CTO – and not sure where to start – you may need a strategic partner to reach quality talents. This is the table to create technical products working in Amnesty International to adopt the risk intelligence.
conclusion
In the future, successful organizations will be defined by their ability to present a vision of the workplace where humans and AI participate. Leaders must give priority to building cooperative frameworks that benefit from the strengths of artificial intelligence while enabling human creativity and governance.
Imran Attab is the co -founder and executive director of 10 people.
