Guardrails are always necessary It was introduced to make artificial intelligence as accessible as possible to non-technical people.
That's according to Hein Badenhorst, software leader at IBM South Africa, who said at a recent press conference on AI that all kinds of companies, from law firms to auto parts suppliers, will soon be using the technology. He said the technology will be used in places like workplaces and guardrails. Necessary to make it accessible to people without a technical background.
“Organizations that move forward without considering the complexities of AI ethics and data integrity risk damaging their reputations for short-term gain,” he said.
Additionally, a recent IBM survey found that 79% of executives say AI ethics is important to their enterprise-wide AI approach, but less than 25% of companies have a common set of principles in place for AI ethics. . Around 58% of them say that implementing generative AI is fraught with significant ethical risks that would be difficult to manage without new governance structures.
However, many companies struggle to put the principles into practice. According to IBM, CEOs are taking the reins, as 80% of executives say business leaders, not technology leaders, are primarily responsible for AI ethics and educating others about emerging ethical issues. He says he needs to hold on.
More than half of consumers (57%) are already uncomfortable with the way companies use their personal and business information, and 37% say they have switched brands to protect their privacy. Consumers rank companies in many traditional industries, including retail, insurance, and utilities, last in responsible use of technology.
compliance
Badenhorst said regulatory compliance is essential when handling customer data, and if this data is compromised, which can happen, what really matters is how quickly a company responds to that breach. I said that it is. “It depends on how AI is deployed within the company. You need the right technology to track production in large companies,” he said.
With the EU's AI law on the horizon, China is developing strong regulations and guidelines. Business leaders around the world are feeling pressure to prepare, but globally, he believes his organization is ready for AI regulation. is less than 60%.
“No matter how regulations evolve, good data and AI governance is necessary, and having responsible and trusted AI in place from the beginning will help you achieve compliance when the time comes.” says Badenhorst.
Read: Google faces 'clear and present danger' of falling short in AI
“South Africa’s AI legislation means we work closely with regulators to understand timelines, but typically we adopt EU and international regulations to comply faster. Data Governance must be included from the beginning.” — © 2024 News Central Media