Artificial intelligence, commonly known as AI, is a rapidly growing field with tremendous potential to transform many aspects of our lives. AI technology can learn, adapt, and perform a wide range of tasks, from driving cars to diagnosing diseases. In recent years, AI technology has made remarkable progress, with new capabilities and applications emerging all the time. However, with consistent advancements in AI technology capabilities, many people and governments are concerned about whether AI technology advancements are occurring responsibly and ethically. Before examining if AI advancements are happening responsibly, it is crucial to understand how the technology is growing.
Here are ten reasons how and why AI's technology capabilities are growing:
1. Increased data availability
AI algorithms need data to learn and improve, and data availability has increased dramatically in recent years. The proliferation of sensors, cameras, and other devices has generated vast amounts of data, which can be used to train and improve AI algorithms. By the end of 2022, 97 zettabytes of data will be worldwide, according to Bernard Marr & Co. A zettabyte (ZB) is the equivalent of 1,000 exabytes.
2. Improved algorithms
AI algorithms are becoming more sophisticated, with better performance and greater accuracy. Researchers are developing new techniques, such as deep learning, that can handle more complex tasks and handle more data. With the evolution of Large language models (LLM: i.e, GPT, Stable Diffusion) with billions of inputs, humans can create content and images. Advanced generative and adversarial networks and transformer-based algorithms drive these systems. An example of this was Jason Allen's Théâtre D’opéra Spatial that won first place at the Colorado State Fair's fine arts competition which was made by AI technology.
3. Greater computing power
AI algorithms require a great deal of computing power, and the availability of powerful computers has increased dramatically. This has made it possible to train and run AI algorithms on large datasets, which has improved their performance and capabilities.
4. Collaboration and cooperation
AI research is a collaborative field, with researchers from different disciplines and organizations working together to advance the field. This collaboration has led to development of new algorithms, technologies, and applications. The human component of AI that is based in cooperation and collaboration is allowing AI technology to expand across industries and become more commonly used, which enables even greater advancements in capabilities.
5. Government support
Governments worldwide are investing in AI research and development, providing funding and resources to support the field's growth. This support has helped to accelerate the development of AI technology and its applications.
6. Private sector investment
In addition to government support, the private sector is also investing heavily in AI. Many companies, such as Google and Microsoft, are investing in AI research and development and are developing their own AI technologies and applications. Funding allows for more research and development across all technological or scientific fields, and AI is no different.
7. New applications
AI is being applied to various domains and industries, from healthcare and finance to transportation and manufacturing. This has increased the demand for AI technology and has contributed to its growth. As AI produces more successful results, the interest and desire for increased AI capabilities and functions will grow.
8. Public acceptance
As AI technology becomes more widespread and visible, the public is becoming more accepting of its use. This has led to greater adoption of AI applications, which has in turn, driving further growth in the field. AI is already implemented on a large scale, from AI chatbots on shopping websites to AI monitoring international logistics and supply chain systems. As the general public becomes more aware of how AI is already being used across a variety of industries, the more it will grow and develop.
9. Ethical considerations
As AI technology becomes more advanced and capable, there is increasing concern about its potential impacts on society and the ethical implications of its use. This has led to greater attention to the ethical considerations of AI development, which has helped to drive its growth in a responsible and ethical way.
10. Innovation
AI is an innovative field, with researchers and developers constantly pushing the boundaries of what is possible. This constant drive for innovation has led to the developing new AI technologies and applications, which has contributed to its growth.
In terms of responsible AI use, there are many examples of AI being used in a way that benefits society. For example, AI is being used to diagnose diseases, such as cancer and heart disease, with high accuracy and reliability. This is improving healthcare outcomes and saving lives. AI is also being used in transportation, with self-driving cars and trucks becoming more common. This is improving safety and reducing accidents.
However, there are also examples of AI being used in ways that are not responsible. For example, AI algorithms have been found to exhibit bias, leading to unfair and discriminatory outcomes. This is a serious concern, as it can lead to harm and injustice. In addition, AI algorithms can be used for malicious purposes, such as spreading misinformation and propaganda. This can undermine social trust and cohesion.
To ensure that AI is used responsibly, organizations should follow best practices in its development and use. This includes conducting thorough testing and evaluation to ensure that AI algorithms.
