Nov 17, 2023
Summary
Artificial Intelligence is all around us and provides
great opportunities to improve the quality and efficiency of our
work. This week we explore how to use Artificial Intelligence at
work.
Transcript
Hello and welcome to episode 210 of the Leadership
Today podcast where each week we share practical tips to improve
your leadership. This week we examine how to use Artificial
Intelligence at work.
Artificial intelligence is a complex and evolving
field. It can feel overwhelming to consider how to use AI at work.
In reality, AI is built into so many things, that you’re already
using AI multiple times per day. To help clarify, AI expert
Juliette Powell talks about Artificial Intelligence as triple A
systems - algorithmic, autonomous and automated. With this
definition, it’s easy to see how your organisation is already
applying AI. Here are some steps you can take to implement and use
AI well at work.
- Collaborate with Artificial Intelligence experts.
While leaders don't need to be AI experts themselves, collaborating
with professionals in the field is crucial for successful
implementation. AI is not just a technology upgrade, it’s a
completely different way of approaching work. There are risks
implementing something that we don’t understand, so using experts
to guide your thinking will help.
- Establish clear governance. The application of
Artificial Intelligence has ethical considerations. It’s possible
to create adverse impacts on minority and other groups through the
use of AI, so we need to proactively measure fairness and equity
implications. Establishing clear governance around the use of AI
will assist with this. We also need to consider data protection
principles. Providing AI systems with access to your data may
create privacy risks that need to be actively managed. Those
accountable for AI governance should develop clear guidelines for
employees to minimise these and other risks.
- Identify high-impact use cases. Not all tasks
require the intervention of AI, so leaders must strategically
identify areas where AI can make the most significant impact.
Conduct a thorough analysis of your business processes to pinpoint
repetitive, time-consuming, or data-intensive tasks that could
benefit from automation.
- Education. Provide employees with the resources and
opportunities to upskill and reskill in areas related to AI.
Workshops, training programs, and online courses can help employees
understand AI concepts, its applications, and how to integrate it
into their daily tasks. By investing in education, leaders not only
empower their teams but also create a workforce that is adaptable
to the dynamic nature of AI technologies.
- Encourage safe-fail experiments. It’s best to apply
Artificial Intelligence in a way that minimises risk. Many
organisations implement AI by first running the work through
parallel processes to measure the impact on quality and efficiency.
They are then able to objectively compare any benefits of AI with
the traditional process without risking the quality of
delivery.
- Invest in quality data infrastructure. Artificial
Intelligence is only as good as the data it uses. It’s easy for the
implementation of AI to be let down by poor quality and out of date
records. Assessing the quality of data being fed into AI will
improve the outcomes you are likely to achieve.
Artificial Intelligence will continue to provide
benefits to organisations looking to improve their performance.
Being informed and considered helps us to manage the implementation
of new systems in a way that maximises benefits and minimises
risks.
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