Science & Technology

Artificial intelligence or sometimes is one of the most effective and efficient techniques that can make predictions, recommendations or decisions regarding, the physical or computer simulated world alike. That is why suggested its potential in confronting climate change is still high, as it helps transitions to sustainable energy structures.

Research to define the Role of AI in Climate Action

AI can support various aspects of climate action, including:

1. Integrating Renewable Energy: AI improves the way renewable energy including solar and wind that are integrated into existing power grid systems.

2. Predictive Analytics: This discipline critically applies in climate change simulation, emission minimization, disasters management and environmental management.

3. Applications include:
The next topic is the making of forecasts of solar power production.
A specific implementation area is concerned with the optimisation of building heating and cooling systems.
> Deforestation recognition by satellite images
– Screening firms’ reports for climate related data

Agriculture in India
In India use of AI has significantly raised Groundnut output per hectare by 30 percent through the giving of recommendations on matters concerning land preparation, application of fertilizers and sowing time.

Energy Management in Norway
Today Norway has also implemented autonomy and flexibility to electric grids, meaning better incorporation of renewable energy sources making usage of AI.

Weather Forecasting
AI is able to achieve between 89% to 99% detection in the phenomena such as tropical cyclones and atmospheric rivers, using the improved weather forecasting to increase safety.

GLOBAL COOPERATION AND PARTNERSHIP

It is useful to note that the relatively new formation of the UN-led AI Advisory Body exhibits the current global uptake in engendering the use of machine learning to address shared difficulties. With rising virtually across all sectors, governments, businesses, and civil society are now forming and strengthening partnerships in order to fully unlock the value of AI for the common good and in line with such global frameworks as the 2030 Agenda and its Seventeen Sustainable Development Goals (SDGs).

Disaster Preparedness
AI-led activities target vulnerable sectors and flow into local and national response plans. For example, mapping tools can be used to organize sustainable development measures in areas prone to landslides, which ensures that human lives are safe.

Conclusion:
AI is increasingly being partnered with robotics to fundamentally transform the way that predictions are made and action can be taken to mitigate possible disasters through the improvement of weather forecasts. Organizations, for example, the WMO, use AI in programs aimed at reducing risks and multi-hazard early warning systems to better service communities. Synergies between AI and climate action are thus promising paths to a more sustainable and resilient future.

Improved Climate Modeling
In climate change, AI helps in simulating and interpreting change to suggest efficient ways in which communities and authorities can adapt to or, slow down the process.

Although it has its benefits, AI in strategic management can never substitute the human aspect of this complicated profession.

1: Strategy-making requires creativity and intuition

• In their quest to solve a given problem, AI, no matter how advanced it is, will be able only to conduct some data analysis and identify particular patterns but be able to only seek where the problem is.
• Strategists are capable of not only looking at everything but also out of the particular box.

2: Strategy-making involves considering multiple perspectives and inputs

• The people strategists work with are usually cross-functional and allergic to working in silos. They can be in the same project to help understand other aspects of the project.
• AI is inherently limited in its programming and data inputs, making it hard for it to appreciate subtle social and interpersonal dynamics.

3. Strategy-making often deals with rather complicated and extreme ethical and social issues.

• When it comes to strategizing, who has a better grasp of the people’s approach to the problem is as well as what is at stake, the strategist or the AI? The answer is, the human.
• Although the assessment AHASA was intended for AA programs, there are social and value-based factors as well that AI is able to assess.

4: Strategy-making is an area of turbulent change and continuity.

• Most importantly analysts are people with strategic and creative thought by nature and as a result will have the capacity to develop appropriate response.
• Because AI has limitations such as data that is not much in volume and variety from human inputs which is all there is at the current time, can not make the necessary changes.

AI’s Role in Learning

Introducing artificial intelligence is revolutionizing the way students learn. They illustrate innovative units as inspired by student’s skills, preferences, and approaches to learning. AI sees what students can and where they lack ability or comprehension.

In smart learning systems, AI and ML are employed to validate a lot of data pertaining to student performance. This makes it easier to find out what the students are best at as well as what they find most challenging. AI blends this information with a particular student’s needs, preferences and learning profile to create unique learning paths.

For instance, if the student scores pretty well in a particular subject area, then the system can advance to higher level content over a session. And if a student wants to read something then the system can assist him or her and further can make the speed according to that student’s learning capacities.

Nevertheless, There are some issues to work out to make sure AI helps without hurting the quality of education:

1. Less Human Contact

We are not only learning what is written in books; we are also learning how to be socially and emotionally healthy individuals. Paradoxically, it means if excessive use of artificial intelligence is made in school, the interaction between student and teachers could be minimized. This time is crucial for the development of the ability to share with others, to get and express own and others’ emotions and to reason. It means that AI can facilitate learning but it cannot provide such things as encouragement, teacher’s individual attention, and etc.

1. Quatity and Releveance of Lessons

However, it is also important to remember that an AI system can only be as good as the lesson you derive from it. The biggest challenge is firstly to ensure that the AI tools being employed utilise correct, updated, and pertinent information. It also questions if, with the help of AI, learning processes might become too standardized and do not offer different perspectives or critical pedagogy. This means that teachers must ensure that they spend their time ensuring that what is being taught to students through AI systems is of the highest quality.

1. Ethical Worries

Introduction of AI into the schools raises ethical concern such as the extent to which AI ought to be employed when making decisions touching on the lives of the students. Should the artificial intelligence systems decide whether a student should attend a particular class or his future life path based on the outcomes of data predictions? Secondly, students and teachers need to know the rationale of choosing or deciding with help of AI.

1. Cost and Access

Introducing AI into schools can be expensive, requiring large purchases of technology and equipment and time from educators. This leads to the generation of another kind of a gap where only rich schools can be able to implement the use of AI while leaving behind poor schools and students. Ensuring that all children can learn with AI regardless of whether they are rich or poor is a major issue. We have to think of some new rules and new plans on how everyone shall get the same opportunity to use those AI tools in school.

1. Dependence on Technology

Another disadvantage from the increased use of AI in education is that both the students and the teachers are likely to be fully reliant on the technology. This dependence might lower down the critical thinking and problem solving abilities of students as they are lazy to think hard and look for information on their own instead of asking the AI.

Although AI can be really helpful in education, these opportunities demonstrate that such a tool should be used very cautiously. There are so many dilemmas that we have to solve like privacy, fairness, cost, and ethical concerns depending on how we can implement AI for schools that will benefit all students and therefore improve the efficiency and fairness of education delivery.

It is often seen that healthcare need of Rural areas are lesser than Urban areas. This could be due to lack of communication facilities, resources, education. We all will remember the Covid-19 pandemic. With how much difficulty could Covid vaccine be provided to rural areas. So you can understand tha how much we need that Healthcare need AI help and innovations.
AI has the potential to be used in planning and resource allocation in health and social care service. AI technologies are being developed by industry, academia, government and individuals. It is expected that integration of AI-based technologies into medical practice will produce substance changes in many areas of medicine and healthcare.
Many medical AI tools have been developed within recent years. Here are the following ‘How AI is contributing to the development of healthcare in rural areas’:-
Briefly:-
• AI- assisted diagnosis and treatment planning:- AI is intelligent, fast and accurate to find The diagnose various disease, infectious disease, chronic conditions, mental health disorder, clinical disease or etc.
• AI-powered remote patient monitoring devices/ Telemedicine for healthcare:-

AI is helping remote monitoring to that patient who have severe disease. AI helps the doctor to monitoring their status, and detect early sign of deterioration.

• Chatbots in healthcare (Software Chatbots):-

These tools helping to provide health education to rural patients. This AI tools available in multi-languages so that any region people can understand easily.

• AI-powered mobile health (mhealth) for healthcare:- 

Mobile applications. in nowadays we can create healthcare application easily by using AI. Patients have to download the applications and they can take appointments or consult from doctor in minutes. Patient can set their alarms for medicine, check their BP, heartbeat or etc.

• AI uses for Medical training and education:-

AI tools help the doctors of rural areas to keep update about healthcare. And patient also, if any normal person trapped in medical issue then AI can train the person for kind of situation.