AI is exceptional at learning patterns and automating tasks. Human beings are creative and have general and emotional intelligence, at least some of us. Both are abilities that no AI can possess. That's why AI will allow us to reach new heights.
We have autonomous cars and robotic manufacturing. AI increases the capacity with which humans can operate. This allows for bigger and faster innovations. Through AI, the human race will become smarter, stronger, and even more efficient.
Light detection and ranging (LiDAR) systems and AI are critical for navigation and collision prevention. LIDAR systems combine light and radar instruments. They are mounted on top of vehicles that use images in a 360-degree environment from a radar and beams of light to measure the speed and distance of surrounding objects. Along with sensors located on the front, side and rear of the vehicle, these instruments provide information that keeps cars and trucks moving quickly in their own lane, helps them avoid other vehicles, apply brakes and steering when necessary, and do so instantly to avoid accidents.
Through these and other means, metropolitan areas are leading the country in deploying AI solutions. In fact, according to a report by the National League of Cities, 66 percent of American cities are investing in smart city technology. Among the main applications mentioned in the report are “smart meters for public services”, smart traffic lights, e-government applications, Wi-Fi kiosks and radio frequency identification sensors on the pavement. A research project conducted by the Harvard Business School found that “Airbnb users with clearly African-American names were approximately 16 percent less likely to be accepted as guests than those with clearly white names.
The types of considerations that are taken into account in programming decisions are very important in terms of how systems work and how they affect customers. 46 states and localities are also taking action on AI. For example, the New York City Council unanimously passed a bill that directed the mayor to form a working group to “monitor the fairness and validity of the algorithms used by city agencies.”. For example, Julia Powles, from Cornell Tech and New York University, argues that the bill originally required companies to make the source code of AI available to the public for inspection, and to simulate their decision-making using real data.
However, following criticism of these provisions, former Councilman James Vacca withdrew the requirements in favor of a working group to study these issues. He and other city officials were concerned that publishing sensitive information about algorithms would slow innovation and make it difficult to find AI providers to work with the city. 62 It remains to be seen how this local working group will balance the issues of innovation, privacy and transparency. The European Union has adopted a restrictive stance on these issues of data collection and analysis.
63 It has regulations that limit the ability of companies to collect data on road conditions and map street views. As many of these countries are concerned that people's personal information on unencrypted Wi-Fi networks will be incorporated into general data collection, the EU has fined technology companies, required copies of the data and placed limits on the material collated.64 This has made it difficult for technology companies operating there to develop the high-definition maps needed for autonomous vehicles. The GDPR, which is being implemented in Europe, imposes severe restrictions on the use of artificial intelligence and machine learning. According to published guidelines, “regulations prohibit any automated decision that 'significantly affects' EU citizens.
This includes techniques that assess a person's performance at work, economic situation, health, personal preferences, interests, reliability, behavior, location, or movements. Along the same lines, the IEEE Global Initiative has ethical guidelines for AI and autonomous systems. Their experts suggest that these models be programmed taking into account widely accepted norms and rules of human behavior. AI algorithms must consider the importance of these rules, how rule conflicts can be resolved, and the ways in which these systems can be transparent when it comes to resolving rules.
Software designs must be programmed to “not deceive” and “be honest,” according to ethicists. When failures occur, there must be mitigation mechanisms to deal with the consequences. In particular, AI must be sensitive to problems such as prejudice, discrimination and impartiality. 68. If artificial intelligence advances sufficiently, it can begin to make decisions that humans have no control over.
Analysts expect people to rely even more on networked artificial intelligence (AI) in complex digital systems. Artificial intelligence is a field of computer science and engineering that focuses on the development of intelligent machines or systems that are capable of reasoning, learning and acting independently. This means that people of color have an excellent opportunity to advance their careers working in artificial intelligence. Roberts, first president and CEO of the Internet Corporation for Assigned Names and Numbers (ICANN) and a member of the Internet Hall of Fame, wrote: “The range of opportunities for intelligent agents to increase human intelligence remains virtually limitless.
General artificial intelligence is valued differently depending on a variety of factors, including the application or industry in which it is used. Businesses and the economy are already experiencing the impact of artificial intelligence technologies. Advances in artificial intelligence can lead to an increase in income inequality and labor displacement. This lack of diversity can have a significant impact on the development and implementation of artificial intelligence technologies.
According to a study by Benjamin Wilson of Georgia Tech, autonomous cars guided by artificial intelligence had worse results when it came to detecting dark-skinned people. The regulation of individual algorithms will limit innovation and make it difficult for companies to make use of artificial intelligence. The risks related to artificial intelligence mainly refer to intelligent machines becoming uncontrollable and causing harm to human beings. While some experts believe that artificial intelligence will usher in a new era of technological advances and unprecedented economic growth, others fear widespread unemployment and social unrest.
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