Artificial intelligence challenging ethical boundaries

Every wave of technology innovation raises its own set of ethical questions. From unintended and harmful consequences for users to concerns about technologies being weaponized, the pace of technological advancement is moving faster than regulatory and ethical frameworks.

In Conversations: Towards ethical AI, the Capgemini Research Institute interviews leading CxOs, start-ups and academics to garner their critical insights into the challenges of ethics and AI. AI offers a huge opportunity for businesses and the economy but important issues must be addressed to ensure the technology is used properly.

Read what leaders from insurance, banking, pharmaceutical, and life sciences are saying, as well as perspectives from academic experts from Harvard, Oxford, and MIT.

Thank you for your interest in Conversations: Towards ethical AI - a copy has been emailed to you

We are sorry, the form submission failed. Please try again.

Moving towards ethical AI means:

AI algorithms need to be transparent and understandable
The ethics of AI need to be a shared responsibility
A need to balance legislation with self-regulation to avoid stifling innovation
Team diversity is an important tool to tackle bias in AI.

Featured Testimonials

Saskia SteinackerGlobal head of Digital Transformation Bayer

“I don’t believe that ethics should be defined by a single company. To define an ethical framework is a task for an entire society and should even be discussed at a supranational level, as digital technologies don’t care much for national borders.”

Daniela Rus Director of the Computer Science and Artificial Intelligence Laboratory (CSAIL) MIT

“Machines are better at some things and humans are better at other things. We need to figure out ways of tasking machines and people in ways that make the most of both worlds so that the collective becomes much more powerful than machines working by themselves or people working by themselves.”

Nicolas Economou Chief executive H5

“An essential component of trust in a technology is trust that it succeeds in meeting the purpose for which it is intended.”