This article will consider how Artificial Intelligence (AI) can make a positive impact on society, including its ability to tackle some of the nation’s most pressing issues. We’ll also examine how AI can have detrimental effects on other communities, and how it can enhance inclusivity. Let’s begin with the positive. AI can help solve some of the country’s greatest problems, while maintaining civil society stability, technological progress, and arms race.
Artificial intelligence can be used for good
AI is being developed to help solve global challenges, such as combating illegal activity, monitoring movement and improving safety in factories. There are already a number of examples of AI in action, including robotics, which can be trained to weed crops and cut weeds. Likewise, AI can be used to help create a more sustainable EU food supply by minimizing the use of pesticides and fertilisers, and can be programmed to help farmers make more informed decisions about their crops. Farmers and other agricultural businesses already use AI to monitor their animals and track their movement. Another example of AI is in monitoring the movement of natural disasters. This will allow farmers to prepare for emergencies and mitigate damage.
AI can help with a variety of human problems, such as automated banking. However, a limited pool of specialists can know how to apply AI ethically. For this reason, it is vital that we engage policymakers and sociologists in the development of AI. In addition, AI research is computationally intensive, and unequal access to data and computing power will only exacerbate inequality. Ultimately, AI will help people better manage their finances.
A major concern in the E-Commerce industry is credit card fraud and fake reviews. Artificial intelligence can detect fake reviews and reduce the risk of credit card fraud. Many people prefer to buy a product based on reviews from real customers. In the education sector, AI has gradually infiltrated its way and has already boosted the productivity of faculties. Meanwhile, deep learning systems can also improve the efficiency of faculty members, which is essential for teaching.
It can tackle some of the country’s most pressing problems
AI could help slow down the economic impact of a crisis by crunching huge data sets to find a cure or vaccine. In the past, AI has been used to contain virus outbreaks through tracking and tracing technologies. But its use in recent years has raised privacy and data protection concerns. Its use in this way extends beyond virus tracking. The impact of AI on our country’s future may be less clear than we might think.
AI has the power to detect cancer early. AI-driven robots can be used to identify cancerous moles. The discovery of Amyotrophic Lateral Sclerosis was made possible by a collaboration between the Barrow Neurological Institute and IBM Watson Health. AI also sifts through massive amounts of data in record time. This helps doctors pinpoint specific research areas, such as early detection of cancer.
With the increase in population and climate change, many countries are facing food shortages. By using AI to analyze data from the affected areas, organizations are able to forecast future shortages and ensure food security. This technology can help the UN 2030 agenda for sustainable development. For example, in the agricultural sector, AI can automatically identify the needs of farmers by analyzing data. It can also sort data into different categories, so that resources are focused on the most effective places.
The technology can help develop low-carbon cities, electrical autonomous vehicles, and smart appliances. AI can also assist with remote medical care. Moreover, it can help integrate variable renewable energy into the grid by adjusting demand to meet demand. These technologies may even enable smart grids that match renewable energy supply and demand. But there are potential dangers that AI-enabled technology may lead to a global power-wielding elite. These risks must be weighed against the benefits of AI.
It can have negative impacts on other communities
Whether artificial intelligence will be beneficial or detrimental to society depends on the data it uses to make decisions. There are numerous examples of how AI tools have perpetuated discrimination in hiring, housing, and mortgage qualification. Tenant screening algorithms are notoriously inaccurate and rely on datasets that contain inherent biases. The implications for people with disabilities are vast. Discrimination against people with disabilities can range from being denied employment to being refused access to government programs and loans.
Additionally, AI systems pose several privacy and data protection issues. These concerns include issues related to informed consent and surveillance. These concerns require more attention than ever before. However, ensuring that AI is not inadvertently compromising the privacy and security of our personal information is crucial to preventing such risks. A study by the ACLU and the Leadership Conference on Civil and Human Rights found that AI systems can cause harm to people of color and other communities.
Despite the benefits to the nation as a whole, AI will have a range of negative impacts on other communities. This will exacerbate regional inequality. However, a coordinated adjustment stance is necessary to overcome regional imbalances. The nation must commit to new efforts to prepare workers and communities for these changes. However, AI should also be a tool to benefit other communities and reduce inequality in society. So, how should we prepare for the potential negative impacts of AI?
Exorbitant energy use is a key problem with AI. Supercomputers that run cutting-edge AI programs draw energy from the public power grid, and their backup generators burn diesel to support them. A single AI system can generate 250,000 pounds of carbon dioxide. In comparison, the overall carbon footprint of AI technology in various sectors is equal to the aviation industry. Furthermore, AI technology often has disproportionately negative impacts on marginalized communities and historically underrepresented groups, which are particularly vulnerable to environmental degradation.
It can enhance inclusivity
The use of artificial intelligence to recruit diverse talent is a promising way to improve the diversity of a workforce. AI can detect bias in job descriptions and reword them to appeal to a wider range of candidates. Women are less likely to apply for roles they believe do not meet the majority of their criteria. AI can also highlight critical skills and irrelevant information in job descriptions. In the future, AI may even be able to help managers and operators create gender-neutral job descriptions.
There are many ways to improve inclusivity in AI. Human experts can make use of AI to improve human interactions. Inclusion must be built into design. Data should be collected from diverse backgrounds. Developers should consider gender roles and other factors when designing applications. It is also important to consider the diversity of a workforce when developing AI systems. To do this, the industry must be inclusive and sensitive to the needs of diverse groups. This will help AI systems function better.
AI experts should be mindful of the impact of unconscious bias when designing AI solutions. Unconscious biases can prevent people from recognizing people with a different ethnicity or culture. This is why AI training must be a proactive campaign from the top of an organization. AI-driven solutions can improve diversity and inclusion in organizations. But it takes more than training to improve inclusivity. The best way to achieve inclusion in your company is to create a culture where everyone can thrive.
A comprehensive shift in mindset is needed to create inclusive AI. Each crucial decision needs to be fully considered. New players have emerged in the education space to ensure that new technologies help those who are most impacted by them. Inclusion also requires the use of algorithm-specific data structures. A new approach requires a complete overhaul of strategies related to data and AI model. These changes can help ensure that AI is inclusive of all people and that its benefits are widely recognized.
It can replace human labour
The future workforce will be guided more by AI than by humans. This automation will complete much of the routine transactional activity that humans do today. While AI is becoming increasingly sophisticated, it has yet to acquire empathy, intuition, and problem-solving skills. The enterprise that develops the most flexible workforce will be the winners in the future. In the meantime, jobs will be created for those who can develop AI programs. It’s not clear which industries will be affected.
Many industries, such as healthcare, have been exposed to AI to some degree. For example, a radiology’s job entails reading radiographs, but that’s only one of dozens of tasks they perform. AI will free up the radiologists to focus on other tasks. Artificial intelligence will eventually be able to perform the majority of these tasks and free up physicians to do other work that requires higher levels of skill.
Automation can free humans from dangerous and boring tasks, and can raise worker wages. Earlier technology deployments were piecemeal, and workers were left to learn new skills or find other jobs. This was especially true during the steam revolution and the introduction of computers to the industrial sector in the 1980s. Today, however, many industries are introducing robotic technology and AI at the same time. This presents a number of challenges for the workers and employers.
While AI is capable of performing efficient tasks, humans are not as good at creativity and problem-solving. While robots can copy human language and process data, they can’t replicate the human touch. And even if AI were able to learn to do these tasks, humans still need people to solve complex problems. In addition to having unique ideas, humans have human intuition, which is what helps them make decisions and navigate complex scenarios. Human intuition is an essential quality of creativity and is necessary for decision-making.