Laura Moritz, Nina Levchuk, Laura Möller, Nica Huestegge - How is AI changing the leadership role?

#1about 3 minutes

How AI can support the shift to coaching leadership

AI can act as a coach for leaders, but it often reflects conservative, past data, highlighting the need for human awareness and data-driven feedback to evolve leadership styles.

#2about 3 minutes

The enduring importance of empathy and messaging

While AI can simulate empathy, leaders must cultivate genuine empathy and master the critical skill of clearly communicating the purpose and direction of AI adoption to their teams.

#3about 7 minutes

Understanding and overcoming leadership fears about AI

Leaders' fears about AI exist on macro, business, and personal levels, which can be addressed through upskilling, establishing clear internal processes, and taking personal ownership of technology.

#4about 3 minutes

How startups accelerate the AI transformation

Startups play a key role in the AI transformation by pioneering new applications, making AI accessible to smaller businesses, and creating a new labor market through agile experimentation.

#5about 5 minutes

Startups using AI for efficiency and growth

Startups use AI as a force multiplier to operate with scarce resources, but this requires founders to develop new skills in risk assessment, ethics, and trustworthy AI.

#6about 2 minutes

The role of research in the evolving AI landscape

Pure research is crucial for providing deep, foundational understanding in a rapidly evolving AI landscape, fostering interdisciplinary collaboration to unlock new potential.

#7about 3 minutes

How AI can help foster a culture of innovation

AI fosters innovation not by creating new ideas itself, but by mapping existing knowledge to help leaders identify unexplored areas and focus on asking better questions.

#8about 3 minutes

Harmonizing AI with company policy and compliance

To align AI with compliance, organizations should first develop cross-departmental AI principles and then integrate them into existing policies with a focus on data governance and human oversight.

#9about 2 minutes

Final advice for leaders navigating the AI era

Leaders should stay current on AI developments by learning within a trusted peer group where they can openly discuss challenges like managing team productivity and AI adoption rates.

2 days ago

Machine Learning Engineer