turn that kind of money loose on AI.”
In meetings with executives and colleagues, Colisto recites figures he gleaned from The Business Opportunity of AI, saying they help outline what’s possible with what the company has now.
4. Can we chart an ethical path for AI?
Though CIOs are dealing with reams of data — and data is the backbone of AI — they’re often the ones reminding peers of ethical concerns associated with AI.
In part, that’s because many CIOs are responsible for privacy, data protection, and compliance, says AI expert Tonya Hall Lambert.
“Companies are required to use ethical data practices, and CIOs are at the center of that,” says Hall Lambert, innovation evangelist at the Denver-based AI Society and of counsel at the Denver law firm Hall Lambert.
But CIOs also recognize that implementing AI without considering ethical implications can result in everything from damaged reputation and operational disruption to fines and lawsuits. Many are now tackling transparency — or lack thereof — in AI algorithm coding and development and working to ensure that algorithms are used without allowing for unintended bias.
5. How do we solve for the machine learning talent gap?
The number of open jobs for AI and machine learning experts alone grew nearly 75% from 2022 to 2023, and companies that require AI expertise will eventually exceed the total number of data scientists, reports LinkedIn senior labor market insights economist Karin Kimbrough.
In Avery Dennison’s case, CIO Colisto expects more positions to open as AI technologies mature. Like many IT leaders, he’ll look to mix software programming and other IT skills with applied math and statistics acumen to address surging demand for experience with AI-driven data.
Some organizations are also using AI solutions to help counter the AI talent shortage. IDG’s 2023 AI Trends report found that companies are leveraging AI for tasks such as employee skill identification and job matching, with about half of businesses reporting that AI applications led to tangible benefits such as improved staff productivity and reduced training costs.
Executive Summary and Main Points:
The rapid development and adoption of artificial intelligence (AI) technologies in the education sector is bringing about significant changes and challenges. At the forefront of these discussions are CIOs, who are expected to lead conversations on the benefits and drawbacks of AI and implement these technologies in strategic partnerships and digitalization efforts. However, as AI continues to make its mark on the global education landscape, there are a number of important considerations that need to be addressed.
Potential Impact in the Education Sector:
AI technology has the potential to greatly influence further education, higher education, and micro-credentials through its ability to automate tasks, analyze data, and personalize learning for students. This could lead to increased efficiency, improved student outcomes, and new opportunities for collaboration and partnership between institutions and businesses. However, there are also concerns around the ethical implications of using AI in education and the possible impact on job roles within the sector.
Potential Applicability in the Education Sector:
There are a variety of innovative applications of AI in education that have been tailored to suit global education systems. These include chatbots for student support, personalized learning through adaptive technology, and AI-driven course recommendations. These tools have the potential to enhance the learning experience for students and support the work of educators, but it’s important to consider the cultural and ethical implications of implementing AI in education.
Criticism and Potential Shortfalls:
While the benefits of AI in education are clear, there are also potential criticisms and pitfalls that must be addressed. These include the risk of unintended bias in AI algorithms, the potential for AI to perpetuate inequalities in education, and the growing challenge of the AI talent gap in the sector. International case studies can provide valuable insights into how AI is being implemented in different educational systems and highlight potential issues and solutions that may arise.
Actionable Recommendations:
To successfully navigate the complexities of using AI in education, it’s important for leaders to have a deep understanding of the technology and its potential impact. It’s recommended for CIOs and other education leaders to engage in ongoing education and training in AI, implement transparency and ethical considerations in all AI initiatives, and consider leveraging AI tools and applications to address the talent gap in the sector. Additionally, strategic partnerships and collaborations can help institutions stay up-to-date on the latest AI developments and their potential impact on the education sector.
Source article: https://www.cio.com/article/1253460/6-tough-ai-discussions-every-it-leader-must-have.html
