Dec 26 2022

AI code of ethics

Pete Alisher


Ethics in artificial intelligence (AI) refers to the moral principles and values that should guide the design, development, and use of AI. These principles aim to ensure that AI is used for the benefit of humanity, respects the dignity and rights of individuals, and operates in a way that is fair, transparent, and accountable.

There are many ethical considerations that need to be taken into account when developing and using AI. Some key areas of concern include:

1- Bias: AI systems can perpetuate and amplify existing biases in society, so it is important to ensure that they are trained on diverse and representative data sets.

2- Transparency: AI systems should be transparent in their decision-making processes, so that their outcomes can be understood and explained to users.

3- Accountability: There should be clear accountability for the actions and decisions of AI systems, to ensure that they are used responsibly and ethically.

4- Privacy: AI systems should respect the privacy of individuals and protect their personal data.

5- Safety: AI systems should be designed to be safe and reliable, and measures should be in place to prevent unintended consequences.

6- Fairness: AI systems should be designed and used in a way that is fair and unbiased towards different groups of people.

7- Human rights: AI systems should respect the dignity and rights of all individuals, and should not be used to discriminate against or harm anyone.

Ethics in AI is a complex and evolving field, and there is ongoing debate about the best ways to ensure that AI is developed and used ethically. Many organizations, including governments, companies, and academic institutions, have established guidelines and principles to guide the ethical development and use of AI.


Why are AI ethics important?

AI ethics are important because the development and use of AI has the potential to impact society in significant ways. AI systems can be used for a wide range of applications, including decision-making, automation, and prediction, and they can affect many aspects of our lives, including employment, healthcare, transportation, and criminal justice.

As such, it is important that AI is developed and used in a way that is ethical, responsible, and beneficial to society. This requires careful consideration of the potential impacts and consequences of AI, as well as the values and principles that should guide its development and use.

AI ethics are also important because they can help to ensure that AI is used in a way that respects the dignity and rights of all individuals, and that it does not discriminate against or harm anyone. This is particularly important given the potential for AI to perpetuate and amplify existing biases in society, and the need to ensure that AI systems are fair and unbiased towards different groups of people.


What are the ethical challenges of AI?

There are several ethical challenges that enterprises face when using artificial intelligence (AI) technology. These challenges include:

1- Explainability: It is important for organizations using AI to be able to trace and explain the decisions and actions of their AI systems, in order to understand why they may go awry and how to prevent future issues.

2- Responsibility: There is a need to determine responsibility for the consequences of AI-based decisions, particularly when they have catastrophic consequences such as loss of capital, health, or life. This requires a process that involves lawyers, regulators, and citizens, and involves finding a balance in cases where an AI system may be safer than human activity but still causes problems.

3- Fairness: It is important to ensure that data sets involving personally identifiable information do not contain biases based on race, gender, or ethnicity, in order to ensure fairness in the use of AI.

4- Misuse: There is a risk that AI algorithms may be used for purposes other than those for which they were designed, which can have unintended consequences. It is important to analyze these scenarios at the design stage and introduce safety measures to minimize the risks of misuse.


What are the benefits of ethical AI?

The adoption of artificial intelligence (AI) by businesses has coincided with a focus on customer-centricity and social activism. Businesses that provide personalized products and services and uphold customer values are rewarded, and AI plays a significant role in how consumers interact with and perceive a brand. Therefore, it is important for businesses to use AI responsibly in order to have a positive impact and retain talent. In addition, responsible AI can help ensure smooth operations within a company.


What is an AI code of ethics?

Ensuring ethical artificial intelligence (AI) requires addressing three key areas, according to Jason Shepherd, vice president of ecosystem at Zededa: policy, education, and technology.

In terms of policy, it is necessary to establish a framework for standardization and regulations, such as the Asilomar AI Principles. This should also include provisions for dealing with legal issues when something goes wrong. Education is important for all stakeholders, including executives, data scientists, front-line employees, and consumers, to understand the policies, key considerations, and potential negative impacts of unethical AI and fake data. It is important to balance the ease of sharing data and using AI automation with the potential negative consequences of oversharing or adverse automations.

In terms of technology, executives should design AI systems to automatically detect fake data and unethical behavior. This may involve vetting suppliers and partners for the malicious use of AI, and investing in defensive measures rooted in open, transparent, and trusted AI infrastructure. This could involve the adoption of trust fabrics that provide a system-level approach to automating privacy assurance, ensuring data confidence, and detecting unethical use of AI.


Instances of AI codes of ethics

An AI code of ethics can establish principles and motivate appropriate behavior in the use of artificial intelligence (AI). For example, Sudhir Jha, senior vice president and head of the Brighterion unit at Mastercard, is working on the following tenets to develop the company's AI code of ethics:

1- Inclusivity: An ethical AI system should be unbiased and work equally well for all members of society. This requires ensuring that the data sets used to train the AI models are diverse and representative, and that the trained models are carefully audited to filter out any problematic attributes. The models should also be closely monitored to ensure that they do not become corrupted.

2- Explainability: An explainable AI system supports the governance needed to ensure ethical use of AI. It is important to be able to understand the actions of an AI system in order to have confidence in it. This may involve making a small compromise in model performance in order to choose an algorithm that can be explained.

3- Positive purpose: An AI system should aim to achieve a positive purpose, such as reducing fraud, eliminating waste, rewarding people, or slowing climate change. It is important to consider ways to safeguard AI from being used for harmful purposes, as the risks of misusing this technology are significant.

4- Responsible data use: An AI system that uses data responsibly respects data privacy rights and observes best practices for data collection, management, and use. This includes only collecting data when it is needed and not continuously, and deleting data that is no longer required. It also involves being mindful of the granularity of data collected, and only collecting the minimum amount of data needed for a particular task.


The future of ethical AI

Some experts argue that an AI code of ethics can become outdated quickly and that a more proactive approach is needed to adapt to the rapidly evolving field of artificial intelligence (AI). Arijit Sengupta, founder and CEO of Aible, an AI development platform, believes that a reactive approach to addressing bias in AI can be ineffective, as it may not address biases that are embedded in the data. Instead, Sengupta argues that the future of ethical AI should focus on defining fairness and societal norms, and on providing guiding principles rather than specific rules to avoid.

Jason Shepherd, vice president of ecosystem at Zededa, agrees that it is important for humans to develop rules and technologies that promote responsible AI, such as programming products and offers that protect human interests and are not biased against certain groups. In the long term, it will also be necessary to plan for the unethical use of AI by bad actors, including the potential emergence of more sentient AIs that could automate their own unethical behavior at a scale that humans would not be able to keep up with.


Overall, the ethical development and use of AI is critical for ensuring that it is a positive force for good in society, and for building trust and confidence in the technology.

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