Is Artificial Intelligence Racist?: The Ethics of AI and the Future of Humanity

Algorithms that govern our daily lives, such as banking, shopping, and job applications, have been found to contain racist biases. This volume explores how this data feeds into AI technology and how it will shape the future of humanity. It also examines how technology aids and abets various forms of extremism, entrenches social hierarchies, and discriminatory boundaries, and how this will impact international security and human rights.

Format: Paperback / softback
Length: 160 pages
Publication date: 13 July 2023
Publisher: Bloomsbury Publishing PLC

Racism has found its way into the algorithms that shape our daily lives, infiltrating various aspects such as banking, shopping, and job applications. This pervasive issue connects the legacy of enlightenment-era racism to modern-day forms of discrimination in algorithms and artificial intelligence (AI). In this comprehensive volume, Arshin Adib-Moghaddam explores the intricate relationship between data and AI technology, shedding light on the inputs that fuel these systems. He delves into the narratives surrounding the development of AI systems, with a particular focus on tech giants like Mark Zuckerberg, Elon Musk, and Bill Gates. Through their ideas and actions, Adib-Moghaddam elucidates how technology aids and abets various forms of extremism, perpetuates social hierarchies and discriminatory boundaries, and ultimately impacts international security and human rights.

The prevalence of racism in algorithms is a concerning issue that requires urgent attention. It is essential to understand how and why these systems perpetuate discriminatory patterns, as they have the potential to exacerbate social inequalities and undermine the principles of equality and fairness. By examining the data that feeds into AI technology and the ideologies of influential figures, we can begin to identify the mechanisms that contribute to racism in algorithms and work towards developing more inclusive and equitable systems.

One of the key challenges in addressing racism in algorithms is the lack of transparency and accountability. Many AI systems are developed and trained on vast amounts of data, but the processes involved in their creation and training are often opaque. This lack of transparency makes it difficult to assess the impact of these systems on marginalized communities and to identify potential biases and discrimination.

To address this issue, there is a need for greater regulation and oversight of the AI industry. Governments, industry organizations, and researchers should work together to establish guidelines and standards for the development and deployment of AI systems. These guidelines should prioritize transparency, fairness, and accountability, and should ensure that AI systems are developed and trained without perpetuating harmful biases or discrimination.

In addition to regulation, there is also a need for increased awareness and education about the impact of racism in algorithms. This includes educating individuals about the potential risks and benefits of AI technology, as well as providing training and resources to developers and users to help them identify and mitigate biases in their systems.

Furthermore, it is important to recognize the role that data plays in perpetuating racism in algorithms. Data that is collected and used to train AI systems can be biased, either intentionally or unintentionally. For example, if data is collected primarily from white communities, it may perpetuate biases and discrimination against marginalized communities. To address this issue, there is a need for more diverse and representative data collection and training practices.

In conclusion, racism has found its way into the algorithms that govern our daily lives, and it is essential to address this issue through regulation, oversight, awareness, and education. By working together to develop more inclusive and equitable AI systems, we can create a future where technology is used to promote social justice and equality rather than to perpetuate discrimination and inequality.

Weight: 218g
Dimension: 215 x 138 x 12 (mm)
ISBN-13: 9781350374454