Today there is limited legislation that specifically addresses the responsible use of artificial intelligence, but there are several existing laws and regulations that can be used to ensure AI is developed and used in an ethically and socially responsible way. Managers should conduct bias audits on a regular basis and keep records of an AI system’s decision making process for compliance reasons. AI products and services should have robust data protection, privacy, and security controls to protect the personally identifiable information ( PII) stored in training data and keep it safe from data breaches.This includes establishing and documenting a clear decision-making process and implementing controls to prevent misuse of the technology. AI products and services should have a governance structure that addresses risk management.AI products and services should be tested regularly and continually audited for machine bias to ensure they are working as intended.AI products and services should be created by an inclusive and diverse team of data scientists, machine learning engineers, business leaders and subject matter experts from a wide range of fields to ensure that AI products and services are inclusive and responsive to the needs of all communities.AI products and services should be fair, trustworthy and inclusive to prevent bias and discrimination.AI products and services should be transparent and explainable so that people can understand how the systems work and how decisions are made.AI products and services should be aligned with an organization’s values and promote the common good.RAI requires ongoing monitoring to ensure outputs are continuously aligned with ethical AI principles and societal values.Ĭompanies and organizations that develop and use AI have a responsibility to govern the technology by establishing their own policies, guidelines, best practices and maturity models for RAI. Organizations and individuals developing and using AI should be accountable for the decisions and actions that the technology takes.Įvery AI system should be designed to enable human oversight and intervention when necessary. AI developers should also be transparent about how the data used to train their AI system is collected, stored and used.ĪI systems should be designed and used in a way that does not cause harm. ![]() There are several key principles that organizations working with AI should follow to ensure their technology is being developed and used in a socially responsible way.Īn AI system should not perpetuate or exacerbate existing biases or discrimination and should be designed to treat all individuals and demographic groups fairly.Īn AI system should be understandable and explainable to both the people who use them and the people who are impacted by them. ![]() The principles and best practices of responsible AI are designed to help both consumers and producers mitigate the negative financial, reputational and ethical risks that black box AI and machine bias can introduce. ![]() It’s also important to protect the developers and organizations who are designing, building and deploying AI systems. It’s important to legally protect individuals’ rights and privacy, especially as AI systems are increasingly being used to make decisions that directly affect people’s lives.
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