COMMENTARY. Artificial intelligence: Since the invention of the operating system, we haven't seen a technology poised to have such far-reaching impact on the way we work and live.
According to a recent study by Avanade, in which we surveyed more than 3,000 business and IT executives globally, 92% of respondents agree that their organization needs to shift to an AI-first operating model this year to stay competitive.
Many organizations are reacting to the hype, rushing to satisfy board curiosity and deploying AI somewhere to check a box.
They're often jumping ahead of the important and tough work of finding the right problem for the technology, understanding their AI readiness, and designing a road map that matches it.
The technology industry at large has some important but tough work ahead, too, ensuring that we're leading by example and designing and applying AI responsibly.
Just because we can use AI for everything doesn't mean that we should.
As we all absorb the mania we were exposed to in 2023, I recommend that individuals, organizations, and the overall technology industry focus on these five priorities in 2024.
Closing the gap between AI advancements and government regulations.
Although the United States government and the European Union announced policies around the use of AI, we're still living with a Wild West-type framework.
Advancements in the application of AI will require access to tons of data, and this will clash with privacy concerns.
I believe there's a huge opportunity for technology firms to do what matters and come forward to invest in privacy-preserving technologies.
Mitigating bias in AI is essential for fairness and equality, as biased systems can perpetuate social inequalities.
Public trust in AI technology hinges on its perceived fairness and lack of bias.
Legal and regulatory compliance as AI governance evolves mandates vigilance against bias.
Technology professionals must be able to tell the story of how the data is calculated, linked, and transformed to those who are asked to sign off on projects and budgets.
Stakeholders will be wary of what they don't understand and what doesn't seem transparent, especially around fairness and bias.
An AI specialist needs to possess soft skills and collaborative capabilities.
They'll be working with legal, finance, marketing, and human resources, and they must communicate in an effective and straightforward way.
AI is a strategic business capability that can and should impact all parts of an organization, and it's going to foster collaboration like you've never seen.
This is a critical component of understanding and managing risk tolerance, being compliant, and most importantly, building confidence and trust in AI technologies.
This Cyber News was published on www.darkreading.com. Publication date: Thu, 08 Feb 2024 18:00:05 +0000