Can We Trust AI?

Artificial intelligence is part of our daily lives and has evolved from an experimental computer algorithm to a commercially reliable method of sifting through large sets of data. However, concerns have increased about applications that amplify existing biases in business practices and the safety of self-driving vehicles. Can We Trust AI? is an essential reading for anyone who wants to understand the potential and pitfalls of artificial intelligence, featuring an exploration of AI's origins, innovative ways it can diagnose medical conditions, and how it is changing how we drive.

Format: Paperback / softback
Length: 224 pages
Publication date: 10 January 2023
Publisher: Johns Hopkins University Press

Artificial intelligence (AI) has become an integral part of our daily lives, revolutionizing various industries and improving our quality of life. However, with its growing capabilities, it is important to address its limitations and guide its use for the benefit of communities worldwide.

AI has evolved from an experimental computer algorithm to a commercially reliable method of sifting through large sets of data, detecting patterns that are not readily apparent through traditional search tools. This has led to the development of AI-based programs that are helping doctors make more informed decisions about patient care, city planners optimize road networks to reduce traffic congestion, and merchants identify suspicious transactions.

While AI has numerous benefits, concerns have also arisen. One major concern is the amplification of existing biases in business practices. AI algorithms can be trained on data that reflects societal prejudices, leading to unfair outcomes for certain groups of people. For example, if an AI algorithm is trained on resumes only from male candidates, it may be less likely to recommend women for job interviews, perpetuating gender inequality in the workplace.

Another concern is the safety of self-driving vehicles. While AI has the potential to improve road safety by reducing human error, there are still concerns about the reliability and accountability of AI systems. Accidents caused by self-driving vehicles could have serious consequences, including injury and death.

To address these limitations and guide the use of AI for the benefit of communities worldwide, several steps can be taken. One important step is to ensure that AI algorithms are transparent and accountable. This means that the underlying algorithms should be understandable to humans, and there should be mechanisms in place to monitor and audit the decisions made by AI systems.

Another step is to prioritize diversity and inclusion in the development and training of AI algorithms. This means ensuring that AI systems are trained on a diverse range of data and that they are not biased against certain groups of people.

Additionally, governments and industry leaders should invest in research and development to improve the capabilities and reliability of AI systems. This includes funding research into new algorithms that can identify and mitigate biases, as well as developing standards and regulations for the use of AI in different industries.

In conclusion, artificial intelligence has the potential to bring significant benefits to communities worldwide. However, it is important to address its limitations and guide its use for the benefit of all. By ensuring transparency, accountability, diversity, and inclusion in the development and training of AI algorithms, we can harness the power of AI to create a safer, more convenient, and more equitable world.

Weight: 227g
Dimension: 178 x 127 x 16 (mm)
ISBN-13: 9781421445304