As the use of generative AI becomes more common, there is a growing need to understand its impact on creativity, ethics, and the workforce in various industries.
On the second day of ISPOR we heard how the National Institute for Care an Excellence (NICE) is actively exploring guidelines to ensure that the integration of AI technologies in healthcare enhances activities while addressing ethical concerns and workforce impacts.
NICE recently published a position paper on the topic that outlines key recommendations for the responsible implementation of AI, emphasising the importance of transparency, accountability, and continuous evaluation to uphold ethical standards.
Some areas are already changing rapidly, data and information collection extraction and organisation are becoming increasingly automated, reducing the burden of repetitive tasks and allowing experts to focus more on business-critical issues.
The concept however the AI is intelligent is to my mind in the present time inaccurate. AI relies heavily on data patterns and algorithms rather than possessing true understanding or consciousness.
We now also refer to generative AI which seems another misconception. In reality, in its current form, generative AI synthesises existing information and patterns to produce outputs, which can lead to impressive results but lacks genuine innovation or emotional intelligence.
Despite these limitations, generative AI has found applications in various fields such as content creation, design, and even music composition, showcasing its ability to enhance human creativity rather than replace it.
During ISPOR 2024, experts gathered to discuss the evolving role of AI in healthcare and its potential to transform healthcare through data-driven insights. To our generation, this will be a pivotal moment like the invention of mobile phones, as it opens up new avenues for, streamlining operations.
In light of these advantages, we must stay aware that the enthusiasm surrounding generative AI shouldn’t divert our attention for too long by promoting the continual synthesis and reproduction of previous findings instead of de novo research. Emphasising the importance of original thought and innovation will ensure that we harness AI’s capabilities to complement human ingenuity rather than stifle it.
