Human expertise needs to work closely with AI systems to interpret and contextualise AI-generated results. Photo Credit: Adobe stock/Dieter Holstein
The challenges of integrating AI with sustainable events require
detailed analysis before the productive use of AI in sustainable events
can be achieved, according to Gevme.
M&C Asia examines how human expertise and collaboration, cost and
resource allocation, among other issues, can be managed in the second
part of the AI Series, based on Gevme’s ‘Intersecting AI and Sustainable Events: Pioneering a Greener Future’ paper:
Human expertise and collaboration
Human expertise cannot be replaced and needs to work closely with AI
systems to interpret and contextualise AI-generated results to ensure
effective decision-making and implement sustainable practices
successfully.
Unite collaboration between AI technologies and human professionals
by integrating AI systems as tools to support decision-making rather
than replacing human expertise.
Teach and upskill event planners and staff to improve their AI literacy and ensure good use of AI tools.
Foster interdisciplinary partnership between AI experts,
sustainability professionals, and event organisers to increase their
collective knowledge and skills.
Change management and adoption
Organisational readiness and change management strategies are needed
and event planners and staff may require training and upskilling to
productively use AI tools and understand the implications of AI-driven
decisions. Encouraging adoption and addressing any friction to change is
key to a successful implementation of AI in sustainable events.
Thus, it would help to develop change management strategies that pros
of AI in sustainable events and address any potential resistance or
concerns. The long-term sustainability goals and good impact of
AI-powered events need to be communicated to gain acceptance from
stakeholders. Build a culture of innovation and continuous learning.
Cost and resource allocation
Initial investments in infrastructure, hardware, software, and AI
expertise will involve costs, hence, allocating resources effectively
and determining the return on investment (ROI) can be difficult. A
cost-benefit analysis and long-term sustainability goals should be
considered when implementing AI solutions.
To support the initial investments in AI expertise, companies can
look for funding opportunities, grants, or partnerships with
sustainability-focused organisations. Resource allocation can be
determined by the specific sustainability goals and expected impact of
AI applications.
Public perception and trust
Forging public trust and communicating the benefits, ethical
practices, and sustainability goals of AI-powered events are crucial to
prevent potential hindrance.
Concerns and misconceptions need to be addressed and management can
discuss the positive environmental and social impact of AI-powered
sustainable events and highlight success stories and best practices.
Attendees and stakeholders can be included in the decision-making
process to ensure their input and build trust through inclusivity and
accountability.