Mobile World Congress 2022: How to deploy and implement AI ethically
Artificial intelligence is being implemented across organizations all around the world – bringing vast opportunities but also opening the door to new risks.
Nearly 80% of executives have encountered some type of ethical issue in AI, according to Manolo Almagro, managing partner at consulting firm Q Division during a session on ethical AI at Mobile World Congress 2022.
That is why designing an AI system to be ethical from the start is crucial to mitigating those potential minefields. But what is the right way for a company to put such ethical frameworks in place?
First, make sure development of the ethics around AI is not done in isolation but as part of a larger corporate mandate, such as ESG, said Richard Benjamins, chief AI and data strategist at Spanish telecom giant Telefonica.
“That’s a key component,” he said. Otherwise, “you won’t have enough momentum to push it forward.”
The next step is to determine the set of AI principles that works for your company or sector: how transparent it should be, how it can avoid discrimination, and other considerations.
Then do AI training for employees to raise awareness. “Employees have heard of it at a high level, but they don’t know what it means,” Benjamins said.
Next, develop a governance model to determine such things as who is responsible for what aspect of ethical AI, the escalation process if something goes wrong, whether the approach should be problem-based, and other factors, according to Benjamins.
Australian telecoms giant Telstra has several levels of governance – including a risk council for AI and data and a group comprised of executives from each business division, according to Noel Jarrett, its chief data and AI officer. Top management also is kept apprised on a regular basis.
Diversity of stakeholders is important because it can help the organization become more aware of potential biases.
Data handling should be front and center, Jarrett said. What information is being collected? How is it collected? How is it being stored and managed? Who owns the data?
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