Last updated on 24 ago 2024

Estás navegando por la resistencia del equipo a la IA de vanguardia. ¿Cómo puede involucrar a los miembros con aversión al riesgo de manera efectiva?

Con tecnología de la IA y la comunidad de LinkedIn

Conclusiones clave de este artículo

Showcase quick wins:

Start with small, impactful AI projects to demonstrate tangible benefits. This approach helps team members see immediate value and reduces their apprehension.### *Create a supportive learning environment:Offer comprehensive training and establish a robust support system. Empowering team members with knowledge and assistance builds their confidence in using new AI technologies.

Este resumen se basa en la IA y estos expertos

La integración de la IA de vanguardia puede ser desalentadora para un equipo reacio al riesgo. Para facilitar el proceso y obtener apoyo, considere estas estrategias:

- Demostrar beneficios tangibles. Muestre cómo la IA puede optimizar las tareas y aumentar la productividad con ejemplos claros.

- Fomentar un entorno de aprendizaje inclusivo. Proporcionar sesiones de formación que permitan a los miembros del equipo sentirse seguros en el uso de las nuevas tecnologías.

- Abordar las inquietudes de manera transparente. Discuta abiertamente los riesgos potenciales y cómo se están mitigando para generar confianza.

¿Cómo ha logrado involucrar a un equipo indeciso en nuevas iniciativas? Comparte tu experiencia.

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Mary Hladio, PMP ✈ 🤖

Senior Leader @ GE Aerospace | Lean Principles, Process Mapping, Strategic Programs & Artificial Intelligence (AI) Enthusiast
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When introducing a new initiative to a hesitant team, I’ve found that starting small and building momentum works best. I involved the team early by gathering their concerns, which made them feel more invested. We began with a pilot that demonstrated quick, tangible wins, like automating manual tasks, to showcase benefits without overwhelming them. I also provided personalized training and established a support system to build confidence. Sharing success stories, especially from within the team, helped them see the value firsthand. By fostering ownership and providing clear support, the team shifted from resistance to becoming advocates for the change.

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Gilles Bonelli FCCA

Digital Finance Transformation Leader & Finance AI Expert
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>>Turning Resistance into Momentum for AI and Generative AI Success<< Introducing AI, especially Generative AI, can be challenging when your team is hesitant. Here’s how to transform that resistance into forward momentum: Highlight Quick Wins: Show how both AI and Generative AI can streamline tasks and spark innovation, igniting your team’s interest. Cultivate a Learning Environment: Provide hands-on training to build confidence and curiosity about the possibilities of AI (you can create a Generative AI assistant to support you here too). Be Transparent: Address concerns openly and share how risks are managed to foster trust (you can use Retrieval Augmented Generation and provide full auditable access to supporting docs).

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Andrejs S.

Engineering Manager | 30+ Years in Tech | Top Voice: ML, AI, GenAI
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Demonstrating the benefits in practice is a way to either overcome resistance or avoid innovations that don’t deliver value: • 𝗥𝘂𝗻 𝗽𝗶𝗹𝗼𝘁 𝗽𝗿𝗼𝗷𝗲𝗰𝘁𝘀 to show tangible benefits. Start with a small project that allows the team to see results quickly. • 𝗨𝘀𝗲 𝘁𝗵𝗲𝘀𝗲 𝗽𝗶𝗹𝗼𝘁𝘀 𝘁𝗼 𝗲𝘃𝗮𝗹𝘂𝗮𝘁𝗲 𝗯𝗼𝘁𝗵 𝗽𝗿𝗼𝘀 𝗮𝗻𝗱 𝗰𝗼𝗻𝘀. Assess how cutting-edge AI affects the entire process, including areas you didn’t initially focus on for improvement. • 𝗦𝗵𝗮𝗿𝗲 𝗰𝗮𝘀𝗲 𝘀𝘁𝘂𝗱𝗶𝗲𝘀 𝘁𝗵𝗮𝘁 𝗰𝗹𝗼𝘀𝗲𝗹𝘆 𝗮𝗹𝗶𝗴𝗻 𝘄𝗶𝘁𝗵 𝘆𝗼𝘂𝗿 𝘁𝗲𝗮𝗺’𝘀 𝘀𝗶𝘁𝘂𝗮𝘁𝗶𝗼𝗻. Choose examples from similar industries, company sizes, and infrastructure setups to make them relatable and credible.

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Ruben Hassid

Master AI before it masters you.
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How to Get Risk-Averse Teams Onboard with AI 1. Show Tangible Benefits Highlight how AI cut costs by 25% in recent pilots and saved 15 hours weekly by automating routine tasks. 2. Foster Learning Offer role-specific AI workshops and access to resources like Coursera’s AI for Everyone for self-paced learning. 3. Be Transparent Discuss AI risks openly, address concerns through feedback surveys, and keep everyone updated on progress. By demonstrating value, supporting learning, and maintaining transparency, you can turn hesitation into enthusiasm.

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Ahmed Maher Aly

🔆LinkedIn Top Voice | PhD in Innovation | Business Scientist | Healthcare Analytics
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You can successfully engage hesitant teams in AI initiatives by: Tailoring Training: Identifying individual learning styles and providing personalized support. Showcasing Success Stories: Sharing case studies of other teams who have successfully implemented AI to inspire confidence. Creating a Safe Space: Encouraging open dialogue and feedback, ensuring everyone feels comfortable sharing their thoughts and concerns. Remember, change can be daunting. By providing clear benefits, fostering education, and building trust, you can overcome resistance and empower your team to embrace the future of AI.

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