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Utilizing Artificial Intelligence for Environmental Sustainability

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The improvement in human development is becoming vividly contingent on the surrounding natural environment, and may be confined by its future deterioration as a response to the negative stimulus. Man-made problems like increasing population, urbanization and industrialisation, of which our mother earth is a victim in this century, have forced society to consider whether human beings are changing the very conditions essential to life on Earth. Antediluvian technologies have played a very meager role in the planning, prediction, supervision and control of environmental processes at different scales and within various time spans. An effective environment protection policy is largely dependent on the quality of information available and the utility of contemporary technologies like Artificial intelligence (AI), deep learning and data analytics that can be used to take an appropriate decision at an appropriate time. This convergence can help AI move from in vitro (in research labs) to in vivo (in everyday lives).

The global environment is in a bad shape. Natural disasters around the world are happening at an alarming rate, we have witnessed earthquakes, wildfires and cyclones that cause mass flooding and property damage. Around twenty per cent of species currently face extinction, and that number could rise to 50 per cent by 2100. And even if all the world economies keep their Paris climate pledges, by 2100, it’s predicted that average global temperatures will be 3˚C higher than in pre-industrial times, making it an invincible environmental catastrophe. There are reports which suggest that the recent fire break in California, United States of America and the floods in Kerala, India could have been mitigated effectively with proper supervision and planning. Here comes the role of AI.AI is considered to be the most dynamic game-changer in the global economy. According to a World Economic Forum report, Harnessing Artificial Intelligence for the Earth, AI refers to computer systems that “can sense their environment, think, learn, and act in response to what they perceive and their programmed purposes.” AI has helped environment researchers clinch almost 90 per cent accuracy in spotting climate change factors like tropical cyclones, weather fronts, tidal changes and atmospheric rivers, which can cause heavy precipitation and are often impossible for humans to identify on their own.  In India, AI has helped farmers get 30 per cent higher yields per hectare by providing information on preparing the land, applying fertilizer and choosing sowing dates, as reported by the Government of India in 2018. In Norway, AI has penetrated into the field of policy-making and helped create a flexible and autonomous electric grid, integrating more renewable energy.

The long list of technology and economy shapers, who believe that artificial intelligence, often encompassing machine learning and deep learning, is a “game changer” for climate change and environmental issues, includes Microsoft, Google, IBM and Tesla among others. Microsoft’s AI for Earth program has committed $50 million over five years to develop and test novel tech-applications for AI. In China, IBM’ Green Horizon project is utilizing an AI system that can forecast air pollution, track pollution sources and develop potential strategies and solutions to tackle it. For instance, data analysis can be used to determine whether it would be more effective to restrict carbon output close certain power plants in order to reduce pollution in a particular zone. The Ocean Data Alliance is developing a machine learning system to provide data from satellites and ocean exploration so that decision-makers can monitor shipping, ocean mining, fishing, coral bleaching or the outbreak of a marine disease. Modern technologies like artificial intelligence, geographic information system tools and movement detectors, are revamping the way wildlife reserves and conservation bodies are working across India.AI can also help prophesy the spread of invasive materials, keep a track of marine litter and measure water pollution levels. The 21st century is the age of data, with accuracy as the key, decision-makers and authorities will be able to respond to problems more quickly with real-time data. Considering the global evolution of AI and its application, it is evidentially predicted that by 2030, AI will add up to USD 15.7 trillion of the global economy which is more than the present output of China and India combined.  The United Nations recognize that AI has the potential to accelerate progress towards a dignified life, in peace and prosperity, for all people. The UN Artificial Intelligence Summit held in Geneva (2017) suggested refocusing the use of this technology, on achieving sustainable development goals and assisting global economies to eliminate poverty and to conserve natural resources and protect the environment.

Countries and civil societies develop incredible AI application systems with diverse features, but sometimes these systems do not take into consideration the good of individuals and society. So, it is important to develop systems which can deliver the change required to build a clean, resource-secure and inclusive economy, enabled by technology and supported by public policy and investment. Many industry giants like Microsoft, Google and Tesla, while pushing the parameters for human innovations, have made productive efforts in developing ‘Earth Friendly’ or ‘Eco-Friendly’ AI mechanisms. For instance, Google’s brainchild DeepMind AI has helped the organization to curb their data centre energy usage by 40 per cent making them more energy efficient and reducing overall greenhouse gas emissions.AI innovation will also be fundamental to the attainment of the United Nations Sustainable Development Goals (SDGs) and will also promote the resolution of humanity’s grand challenges by maximizing on the unequalled quantities of data now being generated on sentiment behaviour, human health, migration and more.

For any country to maximally benefit from the AI revolution, it must adopt a deliberate policy to drive AI innovation and proliferation in sectors affecting climate change. With powerful economies making rapid progress in AI-based research, it is imperative that the World looks at AI as a critical element of environmental sustainability. These recent advances in AI are a wake-up call to policymakers as our climate is under increasing strain. Aiming for sustainability is an opportunity of this generation. AI and other Fourth Industrial revolution ideas are the new innovative solutions that can revolutionize environmental protection measures.

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Iran among five pioneers of nanotechnology

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Prioritizing nanotechnology in Iran has led to this country’s steady placement among the five pioneers of the nanotechnology field in recent years, and approximately 20 percent of all articles provided by Iranian researchers in 2020 are relative to this area of technology.

Iran has been introduced as the 4th leading country in the world in the field of nanotechnology, publishing 11,546 scientific articles in 2020.

The country held a 6 percent share of the world’s total nanotechnology articles, according to StatNano’s monthly evaluation accomplished in WoS databases.

There are 227 companies in Iran registered in the WoS databases, manufacturing 419 products, mainly in the fields of construction, textile, medicine, home appliances, automotive, and food.

According to the data, 31 Iranian universities and research centers published more than 50 nano-articles in the last year. 

In line with China’s trend in the past few years, this country is placed in the first stage with 78,000 nano-articles (more than 40 percent of all nano-articles in 2020), and the U.S. is at the next stage with 24,425 papers. These countries have published nearly half of the whole world’s nano-articles.

In the following, India with 9 percent, Iran with 6 percent, and South Korea and Germany with 5 percent are the other head publishers, respectively.

Almost 9 percent of the whole scientific publications of 2020, indexed in the Web of Science database, have been relevant to nanotechnology.

There have been 191,304 nano-articles indexed in WoS that had to have a 9 percent growth compared to last year. The mentioned articles are 8.8 percent of the whole produced papers in 2020.

Iran ranked 43rd among the 100 most vibrant clusters of science and technology (S&T) worldwide for the third consecutive year, according to the Global Innovation Index (GII) 2020 report.

The country experienced a three-level improvement compared to 2019.

Iran’s share of the world’s top scientific articles is 3 percent, Gholam Hossein Rahimi She’erbaf, the deputy science minister, has announced.

The country’s share in the whole publications worldwide is 2 percent, he noted, highlighting, for the first three consecutive years, Iran has been ranked first in terms of quantity and quality of articles among Islamic countries.

Sourena Sattari, vice president for science and technology has said that Iran is playing the leading role in the region in the fields of fintech, ICT, stem cell, aerospace, and is unrivaled in artificial intelligence.

From our partner Tehran Times

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Free And Equal Internet Access As A Human Right

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Having internet access in a free and equal way is very important in contemporary world. Today, there are more than 4 billion people who are using internet all around the world. Internet has become a very important medium by which the right to freedom of speech and the right to reach information can be exercised. Internet has a central tool in commerce, education and culture.

Providing solutions to develop effective policies for both internet safety and equal Internet access must be the first priority of governments. The Internet offers individuals power to seek and impart information thus states and organizations like UN have important roles in promoting and protecting Internet safety. States and international organizations play a key role to ensure free and equal Internet access.

The concept of “network neutrality is significant while analyzing equal access to Internet and state policies regulating it. Network Neutrality (NN) can be defined as the rule meaning all electronic communications and platforms should be exercised in a non-discriminatory way regardless of their type, content or origin. The importance of NN has been evident in COVID-19 pandemic when millions of students in underdeveloped regions got victimized due to the lack of access to online education.

 Article 19/2 of the International Covenant on Civil and Political Rights notes the following:

“Everyone shall have the right to freedom of expression; this right shall include freedom to seek, receive and impart information and ideas of all kinds, regardless of frontiers either orally, in writing or in print, in the form of art, or through any other media of his choice.”

Internet access and network neutrality directly affect human rights. The lack of NN undermines human rights and causes basic human right violations like violating freedom of speech and freedom to reach information. There must be effective policies to pursue NN. Both nation-states and international organizations have important roles in making Internet free, safe and equally reachable for the people worldwide. States should take steps for promoting equal opportunities, including gender equality, in the design and implementation of information and technology. The governments should create and maintain, in law and in practice, a safe and enabling online environment in accordance with human rights.

It is known that, the whole world has a reliance on internet that makes it easy to fullfill basic civil tasks but this is also threatened by increasing personal and societal cyber security threats. In this regard, states must fulfill their commitment to develop effective policies to attain universal access to the Internet in a safe way.

 As final remarks, it can be said that, Internet access should be free and equal for everyone. Creating effective tools to attain universal access to the Internet cannot be done only by states themselves. Actors like UN and EU have a major role in this process as well.

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Future Energy Systems Need Clear AI Boundaries

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Today, almost 60% of people worldwide have access to the Internet via an ever-increasing number of electronic devices. And as Internet usage grows, so does data generation.

Data keeps growing at unprecedented rates, increasingly exceeding the abilities of any human being to analyse it and discover its underlying structures.

Yet data is knowledge. This is where artificial intelligence (AI) comes in. Today’s high-speed computing systems can “learn” from experience and, thus, effectively replicate human decision-making.

Besides holding its own among global chess champions, AI aids in converting unstructured data into actionable knowledge. At the same time, it enables the creation of even more insightful AI – a win-win for all. However, this doesn’t happen without challenges along the way.

Commercial uses of AI have expanded steadily in recent years across finance, healthcare, education and other sectors. Now, with COVID-19 lockdowns and travel restrictions, many countries have turned to innovative technologies to halt the spread of the virus.

The pandemic, therefore, has further accelerated the global AI expansion trend.

Energy systems need AI, too.

Rapidly evolving smart technology is helping to make power generation and distribution more efficient and sustainable. AI and the Big Data that drives it have become an absolute necessity.  Beyond just facilitating and optimising, these are now the basic tools for fast, smart decision making.

With the accelerating shift to renewable power sources, AI can help to reduce operating costs and boost efficiency. Crucially, AI-driven “smart grids” can manage variable supply, helping to maximise the use of solar and wind power.

Read more in IRENA’s Innovation Toolbox.

Risks must be managed to maximise the benefits.

AI usage in the energy sector faces expertise-related and financial constraints.

Decision makers, lacking specialised knowledge, struggle to appreciate the wide-ranging benefits of smart system management. In this respect, energy leaders have proven more conservative than those in other sectors, such as healthcare.

Meanwhile, installing powerful AI tools without prior experience brings considerable risks. Data loss, poor customisation, system failures, unauthorised access – all these errors can bring enormous costs.

Yet like it or not, interconnected devices are on the rise.

What does this all mean for the average consumer?

Smart phones, smart meters and smart plugs, connected thermostats, boilers and smart charging stations have become familiar, everyday items. Together, such devices can form the modern “smart home”, ideally powered by rooftop solar panels.

AI can help all of us, the world’s energy consumers, become prosumers, producing and storing our own energy and interacting actively with the wider market. Our data-driven devices, in turn, will spawn more data, which helps to scale up renewables and maximise system efficiency.

But home data collection raises privacy concerns. Consumers must be clearly informed about how their data is used, and by whom. Data security must be guaranteed. Consumer privacy regulations must be defined and followed, with cybersecurity protocols in place to prevent data theft.

Is the future of AI applications in energy bright?

Indeed, the outlook is glowing, but only if policy makers and societies strike the right balance between innovation and risk to ensure a healthy, smart and sustainable future.

Much about AI remains to be learned. As its use inevitably expands in the energy sector, it cannot be allowed to work for the benefit of only a few. Clear strategies need to be put in place to manage the AI use for the good of all.

IRENA

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