Artificial intelligence (AI) is a technological revolution that has transformed the way businesses operate and deliver services. However, major advances usually entail/require major responsibilities, and the ethics in artificial intelligence is one of the responsibilities that businesses must address. Companies face major challenges in the coming years such as the need to maintain and increase competitiveness or the development of new products and services. But this will require scaling up the use of data and artificial intelligence and thus addressing the ethical challenges we face.

In previous articles, we have already told you how we use in Yapiko the Artificial Intelligence for mobile app development and today we want to raise with you the challenges that we believe the use of AI faces or will face.

Introduction

The importance of ethics in the development of AI

The application of AI is increasingly common in all kinds of activities, making ethics in artificial intelligence essential to maintain public trust and business integrity. Ensuring that AI is used ethically is an imperative today. Without ethics, AI can be exploited and used in harmful ways.

While we are all aware of the many advantages of using AI, other systems have demonstrated the negative effects of this technology, and have come to compromise or violate issues such as privacy, data protection or even human rights. For example, in 2015, Google Photos’ algorithm mistook African-American people for apes; or Amazon’s Rekognition system, which in 2018 falsely identified 28 members of Congress as people who had been arrested for crimes. Special care must therefore be taken in the use of new technologies.

AI in Software Development and its Ethical Challenges

Algorithmic biases

There is a need to address social, cultural and moral aspects in their applications. This need leads us to build algorithms that do not inherit biased views of individuals, companies or societies and to address these biases to ensure fairness in decision-making.

In order to mitigate these issues, various techniques are being used, such as injecting positive text where biases are generated. On the other hand, companies developing algorithms are addressing this challenge through training and education of the entire population.

Data privacy

AI often involves processing large amounts of data. Ensuring the privacy of this data is essential to protect personal information. As a result, data collection in AI raises questions about privacy and consent. Businesses should ensure that data is collected ethically and used responsibly.

Accountability and transparency

Companies must take responsibility for the decisions made by AI systems and be transparent about how they work.

Companies also have a responsibility to avoid behavioural manipulation arising from digitally reproducing the features, movements and expressions of any individual so that the population is not manipulated. In a context of increasing misinformation, it is crucial to determine whether content is real or manipulated in order to avoid consequential damage.

Discrimination and equity

AI can have a significant impact on society, both positive and negative. It is important to consider the social, economic and cultural implications of AI and to ensure that it is used responsibly and for the benefit of society as a whole. This involves conducting ethical and social impact assessments before implementing AI systems and considering the possible long-term consequences. It is crucial to ensure that AI does not discriminate against any group of people. Businesses should work to promote equity and inclusion.

Ethics in Data Collection and Use

Other ethical challenges such as autonomy need to be addressed. In other words, everything related to the decisions that algorithms make on their own. Ethical data collection and use are essential to ensure the privacy and security of users’ information. Businesses should follow responsible data management practices.

There is a need to create standards for the transparency of data use in artificial intelligence systems, as was already done with the GDPR. High-risk systems are also subject to a number of obligations, such as the obligation to provide a record of the activity to ensure traceability of results or to provide detailed documentation on the system.

AI and Digital Transformation: Ethical Considerations

In the process of digital transformation, companies must consider how AI will affect their employees, customers and society at large. Ethical considerations should guide this process.

Ethics in Service and Technology Integration

Integrating AI services and technologies into a company’s operations requires careful planning. This includes ensuring that systems are ethical and benefit the company and its customers.

Ethical considerations for companies

In the development and use of Artificial Intelligence there are various tools and approaches that are used to ensure its ethical use. These tools and approaches help address the ethical challenges associated with AI and promote its responsible development and application. Some ethical considerations we take into account are:

User-centred design

User-centred design involves incorporating ethical considerations from the earliest stages of AI development. The needs and values of users and affected parties must be considered, ensuring that systems are designed to respect their autonomy, privacy and rights. The user-centred approach contributes to the development of ethical and human benefit-oriented AI systems.

Internal policies

Companies should establish internal policies that regulate the use of AI and promote ethics in all operations.

Impact assessment

Before implementing AI systems, companies should identify and assess the potential ethical and social impacts of AI systems on their employees, customers and society at large. This includes the identification of potential risks and benefits. These assessments are carried out during AI development and implementation, and help to detect and address potential bias, discrimination and other ethical issues. Ethical impact assessments encourage reflection and dialogue on the ethical implications of AI.

Audits and tests

Ethical audits and tests are used to assess the ethics of existing AI systems. These evaluations help to identify potential ethical problems, such as bias or discrimination, and to propose improvements and adjustments. Ethical audits can be conducted by AI ethics experts and help ensure transparency and accountability in the use of AI.

Conclusions

Ethics in artificial intelligence is essential for the long-term success of companies. Addressing ethical challenges in software development, data collection and digital transformation is critical to building a strong reputation and ensuring customer trust.

In Yapiko, as bespoke development and programming company, we adapt to new challenges by taking into account all ethical standards during the work processes to ensure that technology is used in a responsible and socially beneficial way. If you would like more information, please do not hesitate to contact us.