Six steps for developing an AI ethics framework

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Managed the right way, the opportunities for application of artificial intelligence (AI) are endless--but managed the wrong way, so are the legal, regulatory, reputational, and financial risks. "A myriad of opportunities to leverage AI highlight why an ethical mindset is critical to protect an organization from unintended, unethical consequences," Maureen Mohlenkamp, a principal in Deloitte's risk and financial advisory practice, said during a recent Deloitte Webcast on AI ethics. In broad terms, artificial intelligence encompasses technologies that are designed to mimic human intelligence. Because AI's application is still in its early stages, companies across all industries have only just begun to scratch the surface of its full potential in the business world. "A myriad of opportunities to leverage AI highlight why an ethical mindset is critical to protect an organization from unintended, unethical consequences."


Ethical implications of artificial intelligence

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In the race to adopt rapidly developing technologies, organisations run the risk of overlooking potential ethical implications. And that could produce unwelcome results, especially in artificial intelligence (AI) systems that employ machine learning. Machine learning is a subset of AI in which computer systems are taught to learn on their own. Algorithms allow the computer to analyse data to detect patterns and gain knowledge or abilities without having to be specifically programmed. It is this type of technology that empowers voice-enabled assistants such as Apple's Siri or the Google Assistant, among myriad other uses.


Thinking ahead: AI and automating corporate ethics London Business School

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The issue of corporate ethics is never far from the business media headlines. Take the troubles embroiling former Nissan chair Carlos Ghosn, or the accounting problems at Patisserie Valerie in the UK, to name just two recent examples. Despite the best intentions and efforts of policymakers, legislators, boards and professional consultants, the corporate scandals keep coming. Now, to further complicate matters, the latest developments in the digital revolution are adding a new dimension to the challenge of ensuring companies and their executives behave responsibly. Ioannis Ioannou, Associate Professor of Strategy and Entrepreneurship at London Business School, and Sam Baker, Monitor Deloitte Partner, suggest that, while the widespread introduction of AI and machine learning technologies can be a force for good, without the right approach there is a risk that the corporate ethics waters become even murkier.


Why Ethical AI Is A Critical Differentiator

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For us and many other companies, trust has become a competitive advantage. As businesses race to adopt artificial intelligence (AI), their ability to use it ethically--and in ways that generate trust from customers, partners, and the public--will become a competitive differentiator. This means companies need to make ethics and values a focus of AI development. Some reasons for this are obvious: Three-fourths of consumers today say they won't buy from unethical companies, while 86% say they're more loyal to ethical companies, according to the 2019 Edelman Trust Barometer. In Salesforce's recent Ethical Leadership and Business survey, 93% of consumers say companies have a responsibility to positively impact society.


An Overview of Artificial Intelligence Ethics and Regulations

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In the past 18 months, we have seen a huge rise in the interest of AI development and activation. Countries are developing national strategies, and companies are positioning themselves for the fourth industrial revolution. With this pervasive push of AI, comes also an increased awareness that AIs should act in the interest of a human - and this is not as trivial as one might think. This article provides an overview of several key initiatives that propose ways on approaching AI ethics, regulation and sustainability. As this is a fast evolving field, I aim to update this article regularly.