Summary Reader Response Draft #3
In the article "How
Artificial Intelligence, Robots Enhance Forest Sustainability in Finland",
McQueen (2019) states that the Finnish Forest Centre is in charge of overseeing
the conservation of Finland's forests and hence came up with an ambitious
solution to use robots to autonomously execute most of the forest conservation
tasks. McQueen mentions that the data used has to be precise and
attainable before the Finnish Forest Centre can train the robots. They use
aerial and lidar imagery to construct forest inventories and record tree
measurements and information on species. The data the robots need is then
placed in a geographic information system (GIS). The development director
of the Finnish Forest Centre, Hamalainen, and his team see robots bringing benefits.
People owning more than 65% of Finland’s forests can have simpler and more
proactive management of their forests. To produce precise data and decrease the
amount of work in the field, McQueen reports that the Finnish Forest Centre is
using Artificial intelligence (AI). By combining the data from GIS, imagery
sources, climate and weather datasets, precise measurements of the forest can
be obtained, and forest inventory predictions can be improved. It can also
detect signs of spruce bark beetle attacks as well as provide relevant
information on the volume and species of wood. The machine testing algorithms
are being tested to obtain the same measurements as those measured by
inspection crews in-person. Through AI, Hamalainen states that “we want the
data to be so accurate that users can see and sell without having to go to the
forest”. Currently, 85% of the cases have reliable data, while the remaining
15% is being improved.
Over the years,
many other countries have seen benefits through the implementation of AI in
sectors such as healthcare, national security as well as in efforts to combat
the Covid-19 pandemic. It has brought many transformations and improvements to its
technology, increasing its efficiency and capabilities.
Looking locally,
Singapore has implemented AI extensively in their healthcare sector and has
seen drastic improvements and benefits for both patients and doctors. Firstly,
AI has helped patients to manage their illnesses or conditions while at home
through the use of coaching applications by providing virtual aid through
chatbots. For example, Stein et al. (2017, as cited in Liu et al., 2020)
created a fully automated health coaching mobile application for overweight
adults that is driven completely by AI. Results showed that the application was
as good as face-to-face lifestyle involvement when it comes to achieving weight
loss for the users. As for doctors, in the article “How Singapore is using
artificial intelligence”, Trueman and Lago (2019) mention that AI is now
capable of detecting skin cancers, examining chest x-rays and performing
diabetes screens, all from a patient’s retina scan. It is also able to sift
through large numbers of healthcare-related documents and reports produced
every year. This means that doctors will not need to read through every
document on their own, which saves them a lot of time. It also allows them to
make the best choice when picking new treatments. All these show how AI has
significantly changed the healthcare system in Singapore by transforming its processes
and providing better technology to improve the lives of people.
In the United
States of America, AI is being used to enhance national security. In the
article “How artificial intelligence is transforming the world”, West and Allen
(2018) state that the American military is making use of artificial
intelligence to look through huge piles of data and video recorded by
surveillance and then notify human analysts of unusual or shady activities or
patterns so they may look more into it. Adopting AI helps find suspicious
activity much more quickly as humans will not need to look through hours and
hours of footage. Necessary investigations can then be carried out and
subsequently apprehend any criminals before any damage can be done. This shows
how AI helped maintain and uphold the country’s peace and security.
In the current
situation where Covid-19 is prevalent, South Korea is using AI to fight against
the pandemic. In the article “How this South Korean company created coronavirus
test kits in three weeks”, Watson, Jeong and Hollingsworth (2020) mention that
Korea was able to develop a covid-19 test kit in a matter of weeks due to the
use of an AI-based big data system housed by the company Seegene. Secondly,
according to the article “COVID-19: How Korea is using innovative technology
and AI to flatten the curve”, “AI for good” stated that AI was also used in
Korea to help categorize confirmed cases through the use of “VUNO’s Chest X-ray
AI Image Support Decision Tool” which is capable of examining the lungs in 3
seconds using x-ray images. For Korea’s case, artificial intelligence has
helped the country manage Covid-19 better by allowing the quick development of
test kits and categorizing confirmed cases so they may receive the proper
respective treatments based on the severity of their conditions.
Nonetheless, AI
by any means is still imperfect. One such widely known use of AI is autonomous
vehicles. It has the capability to increase the safety of its drivers by
helping them detect their surroundings and calculating the risks of collision
and making the necessary adjustments to avoid it. It can also reduce the need
for manpower in work-related cases, such as driving delivery trucks or even
car-sharing and taxi services, by replacing drivers completely and going fully
automatic. However, when humans become too reliant on AI, people become
complacent and accidents are more prone to happen. West and Allen wrote that in
March 2018, Uber suffered a blow when an autonomous vehicle in Arizona hit and
killed a pedestrian as the AI failed to detect and avoid the pedestrian. AI may
have transformed many sectors positively in wondrous ways, but there are still
flaws in it, as shown in this incident, making mistakes and creating
undesirable outcomes. Humans will still need to work on improving it and
use it with care and caution to mitigate the risks of such incidents happening.
In conclusion,
countries that have implemented artificial intelligence have seen an enormous
jump in their progress in the relevant sectors in terms of technological
advancements and achievements, which has provided many benefits for the people.
However, AI is far from being a perfect technology, as it is relatively new and
still has the potential to make mistakes. As such, people will need to explore
and improve AI more to move towards the direction of perfection. Until then,
people will need to work hand in hand with AI instead of being fully reliant to
ensure that no unwanted outcome occurs, and work on a solution for the issue so
it doesn’t happen again.
References:
Covid-19: How Korea is using innovative technology and AI to flatten the curve. AI for Good. (2021, September 2).
Lago, C. T., & Lago, C.
(2019, March 12). How Singapore is using Artificial intelligence. CIO.
https://www.cio.com/article/221994/how-singapore-is-using-artificial-intelligence.html
Liu, S., Ko, Q. S., Heng, K. Q. A., Ngiam, K. Y., & Feng, M. (2020, November 17). Healthcare transformation in Singapore with Artificial Intelligence. Frontiers. https://www.frontiersin.org/articles/10.3389/fdgth.2020.592121/full#B10
Stein, N., & Brooks, K. (2017). A fully automated conversational artificial intelligence for weight loss: Longitudinal observational study among overweight and obese adults. JMIR Diabetes, 2(2). https://doi.org/10.2196/diabetes.8590
Watson, I., Jeong, S., &
Hollingsworth, J. (2020, March 13). How this South Korean company created
coronavirus test kits in three weeks. CNN. https://edition.cnn.com/2020/03/12/asia/coronavirus-south-korea-testing-intl-hnk/index.html
West, D. M., & Allen, J. R. (2018, April 24). How artificial intelligence is transforming the world. Brookings.
https://www.brookings.edu/research/how-artificial-intelligence-is-transforming-the-world/#_edn2
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