Codility, a leader in tech hiring platforms, debuts the first assessment of AI-assisted engineering skills.
Let’s take a closer look at what this means and how it’s changing the tech industry.
What is AI-assisted engineering?
In AI-assisted engineering, engineers and AI systems team up to solve problems. Codility’s assessment checks for essential skills like:
- Computational Thinking: The essence of this concept lies in the ability to deconstruct intricate problems, enabling computers to contribute towards their resolution.
- Prompt Writing: The methodology of instructing AI holds significant importance in determining its output. Effective prompts play a crucial role in attaining improved results from AI systems.
- AI Proofreading: Following the completion of AI’s tasks, engineers need to review the work again, and again. To identify any mistakes and ensure that the outcomes align with the project objectives. This quality control process ensures that AI-generated results are accurate and in line with the set project goals.
AI-assisted engineering impact across key Industries
Example of AI-assisted engineering in healthcare:
A tech team used AI to help doctors predict patient treatments better. The AI looked at old patient data and found helpful patterns, making treatment advice 20% more accurate. In another case, AI helped read X-rays and scans, doing as well or better than expert doctors.
In the field of radiology, AI showcases its proficiency in interpreting medical images such as X-rays and scans, often demonstrating results on par with, or even surpassing, those of expert radiologists. This not only expedites the diagnostic procedure but also enhances its accuracy, playing a critical role in the early detection of diseases and the formulation of personalized treatment strategies.
Example of AI-assisted engineering in the automotive industry
A car company used AI to make their cars use less fuel. The AI learned from car performance and helped make a change that saved 5% more fuel for every car.
By adopting this AI-driven approach, organizations not only unlock the potential for cost savings and improved efficiency but also make significant contributions to environmental sustainability.
AI technologies thus far have helped us minimize fuel consumption through optimized processes and resource allocation, resulting in reduced carbon emissions and a smaller ecological footprint. This holistic approach aligns economic benefits with environmental stewardship, emphasizing the importance of leveraging AI for a more sustainable future.
The evolving constitution of an engineer’s skills
Codility’s Engineering Skills Model (ESM) shows a shift from deep knowledge in one area (T-shaped) to more varied expertise (V- or W-shaped). This means engineers need a mix of deep and wide skills. The ESM helps companies focus on what skills their engineers have right now, not just their past jobs or degrees.
Let’s talk about the skills gap in AI-assisted engineering
A study shows that only 18% of engineers are ready to work with AI, but 65% of tech jobs now want this skill.
To fix this, new training programs and courses teach AI skills to current workers and students. The very recent partnership between Microsoft and the US labor union AFL-CIO essentially aims to close this gap.
AFL-CIO President Liz Shuler emphasized the initiative, stating:
“This partnership reflects a recognition of the critical role workers play in the development, deployment, and regulation of AI and related technologies.”
In her speech she emphasizes the significance of worker-centered design and training in trustworthy AI practices, indicating a shift towards more inclusive AI development.
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Examples that matter
Picture a web developer who aspires to become a proficient DevOps specialist. While their coding abilities may be amazing, they still require further knowledge in system administration.
Codility’s innovative approach precisely identifies these areas where improvement is necessary, enabling individuals to enhance their expertise and progress.
Codility employs psychological methodologies to ensure that their assessments accurately capture the essential proficiencies for each role. Moreover, they have meticulously designed tasks that evaluate specific skills, resulting in practical and current tests.
Fair and current skill assessments
Artificial intelligence can present challenges, particularly in the context of candidate integrity and potential cheating. Codility has proactively addressed this issue by implementing tools that detect similarities between answers and previously submitted or online sources. Codility’s advanced system effectively identifies excessively similar solutions, thereby upholding the integrity of the assessment process. They are also pioneering the development of ChatGPT-resistant tasks
The big picture of generative AI
Generative AI is changing how we create software. Codility’s research offers convenient information for using AI to make software development better.
Using AI with care
Using AI wisely means thinking about fairness and privacy. Codility talks about the importance of using AI in a way that’s right and considers these issues.
AI’s role in hiring tech talent
Codility is ahead of the game, getting ready for new AI advances and ensuring their tests stay relevant.
Their vision is to make AI bring out the best in engineers, not just to make tests more challenging.
Skills needed in the era of artificial intelligence
With AI tools, engineers need to be team players and quick learners and know how to work with AI.
Codility suggests that being able to think creatively and solve tough problems will set the best engineers apart.
Is there AI use outside of the US?
Yes, in various locations & different ways.
In the US, AI is big in business; in Estonia, it’s used for government services. Asia is catching up, and fast! with countries like China and South Korea investing significantly in AI.
Both the purpose and challenge here are to make sure everyone around the world can learn and use AI. And the way it is heading, it looks quite hopeful.
In a nutshell
AI plays a significant role in the future of engineering, and Codility is at the forefront with its groundbreaking evaluation system. It goes beyond mere competence; it leverages AI to optimize human skills and drive advancements in innovation.
Codility’s state-of-the-art assessment serves as a rallying cry for engineers and those responsible for their recruitment: the age of AI assistance has arrived. This transformative era holds immense potential alongside formidable challenges.
Whether you’re in search of exceptional IT professionals to drive your business forward, or on a hunt for your next IT career, we invite you to connect with us.
