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Vivek Jayachandran: Jaegersoft (Tech)

Working at Jaegersoft, a software consultancy company, Viv saw the benefits of AI-powered tools such as ChatGPT4.0 and GitHub Copilot X early on. GitHub is an incredible tool that allows software engineers and developers to produce clean and maintainable code quickly, and it has the potential to reduce the time needed to create new applications significantly.

With the help of AI-powered tools like GitHub co-pilot and ChatGPT4.0, software engineers and developers can in the immediate future produce more repetitive code such as debugging, testing and basic interface development much more quickly. At Jaegersoft, it was observed that software components could be developed within 80% less time with AI-powered tools than without. While we are not at the level of having full-scale applications and systems developed solely with AI-powered tools, this will quickly change within the next few years. What this means for the industry is there will be a much larger distinction between the Software Engineer and the Software Developer.

The role of the developer will diminish, with the need to program and debug code being eventually replaced by AI-powered tools. The role of the software engineer will be more vital, as they are responsible for leveraging AI-powered tools to produce solutions to complex problems faster and more efficiently. They will be required to manage and mitigate the risk of utilising AI-powered tools and ensure that the applications and code meet security and compliance regulations. Additionally, there is a need to understand what prompts and data to input to AI tools for effective use.  For example, the specific coding language, frameworks, and metrics would need to be provided to create a relevant output for each case.

The use of AI in software development can help companies like Jaegersoft stay lean, test more variations of products, and bring their minimum viable product to market faster, with less investment.

Ria O’Donnell- Custom learning design (Education and Training)

AI has revolutionised how we live and work, and it is increasingly used in various industries. One such industry is training, where AI tools like ChatGPT and Jasper are being used to make life easier for trainers and trainees alike. As AI-powered tools become more accessible and user-friendly, trainers will have more time to move into more creative and new industries. The acceleration of the AI revolution will enable the industry to become more productive and efficient in its training delivery.

One of the most significant advantages of using AI in training is that it dramatically reduces time-intensive tasks. This includes using AI tools to enable trainers to quickly get a foundational understanding of a topic before doing further research. By doing this, trainers avoid reinventing the wheel and focus on developing more effective training programs. As such, this humanistic overlay also enables the trainer to utilise the time gained to package the information in innovative and digestible forms.

If we can already access the information, then why would we need trainers? Whilst information is available and accessible at the drop of a GPT search, trainers would still be required, as mentioned above, to sequence the information in a practical way to assess and test trainees’ knowledge and retention of the information.

AI has many advantages in training as it gives trainers more time to focus on information delivery rather than the content. As AI continues to evolve, it will undoubtedly revolutionise how we train and educate the next generation of workers.

The responsible use of AI…

Adopting AI will likely enhance the efficiency, productivity, and quality of work for professionals across different sectors. However, it is also important to note that AI’s ethical implications must be carefully considered and addressed to ensure its responsible use.

The OECD has developed a framework for effective AI policies, which includes the following:

1. AI Principles: The development and adoption of ethical AI principles to guide the design, development, and use of AI systems.
2. Policy Coherence: Ensuring that AI policies are aligned with other policy areas, such as data protection, privacy, and human rights.
3. Research and Development: Investing in research and development to advance AI technologies and support innovation.
4. Human Capacity and Skills: Developing human capacity and skills in AI ensures that workers are equipped to work with and alongside AI systems.
5. Public Awareness and Engagement: Raising public awareness and engagement around AI, including its benefits and risks, and involving citizens in policy discussions.
6. International Cooperation: Encouraging international cooperation and collaboration to develop common standards and guidelines for AI development and deployment.
7. Regulatory Environment: Developing a regulatory environment that is adaptable, proportionate, and encourages innovation while safeguarding human rights.

The OECD framework emphasizes the need for a multidisciplinary and collaborative approach to AI policy, involving policymakers, industry leaders, academics, civil society, and other stakeholders. It also highlights the importance of continuous monitoring and evaluation of AI policies and their impacts to ensure they are effective and beneficial for society.

All in all, like the invention of the calculator or the introduction of Google Search, AI is on the fast track to adoption across multiple facets of our working world. There is an opportunity to utilise this technology to our benefit. However, careful consideration of ethical implications and regulations of the technology will be vital to ensure responsible use.