AI laws are becoming a thing. How does this impact coding assessments?
But first, what is a coding assessment, and how does it relate to Artificial intelligence?
A coding assessment evaluates a candidate’s programming skills, problem-solving abilities, and understanding of coding principles. Employers commonly use it to assess technical proficiency during the hiring process.
These assessments may include writing code, debugging, or solving algorithmic problems in languages like Python, Java, C++, etc. They can be automated, timed, or even involve live coding sessions.
In essence, AI-driven enhancements benefit coding assessments, and specialized assessments often test AI knowledge for roles in data science, AI development, or machine learning engineering.
2023 marked an important moment in AI laws
In the United States, the Federal Trade Commission (FTC) took steps to assert AI enforcement authority, reflecting a growing trend among regulators to apply existing legal frameworks to AI technologies.
This shift is seen in the implementation of President Biden’s AI Executive Order, which emphasizes the safe and responsible use of AI.
In Europe, the EU’s Artificial Intelligence Act (AIA) represents a major legislative milestone. It adopts a risk-based approach to AI regulation, focusing on the potential impact on individuals’ health, safety, and fundamental rights. The act aims to influence and enforce compliance with global AI standards across jurisdictions.
Algorithmic bias in coding assessments
Notably, the worry over algorithmic bias in coding assessments is more prevalent than ever. Legislation like NYC’s Local Law 144 mandates employers to conduct annual “bias audits” for their Automated Employment Decision Tools (AEDTs), ensuring they do not discriminate against federally protected groups. This law necessitates a new level of transparency and accountability in AI-driven assessments.
About NYC’s local law 144
A notable shift occurred when a New York-based tech startup revisited its AI-driven candidate screening process following Local Law 144.
They realized their AI system favored candidates from specific coding boot camps, leading to unintentional bias.
Post-audit, they broadened their AI criteria, resulting in a diverse and talented applicant pool. Similarly, a multinational corporation embraced transparency post-law by publicly sharing its AI bias audit results.
This move not only aligned them with the new regulation but also enhanced their public image as a fair and responsible employer.
What this means for businesses
Initially, businesses, particularly smaller ones, faced challenges like finding expert auditors and managing increased operational costs. Small businesses have been struggling to find skilled auditors and keep up with growing operational costs.
However, this has led to the development of better AI tools and discussions around ethical AI practices.
As a result, companies are now focusing on turning this regulatory shift into an opportunity for growth and innovation in AI technology.
Ensuring data privacy in AI-driven talent assessment
Data privacy remains a critical concern, similar to the impact of GDPR on privacy compliance.
Laws like LL 144 in the US indicate a global shift towards safeguarding personal data in AI applications, a trend likely to shape future regulations in talent assessment.
The call for transparency in coding assessment algorithms
With AI models often being a “black box,” understanding the basis of their decisions is hard yet required under new laws.
For instance, the AI Labeling Act requires AI-generated products to disclose their AI-driven nature.
Fairness in coding assessments and new AI laws
New laws are being introduced to ensure AI tools do not perpetuate or reinforce existing discrimination. It is both a legal obligation and a moral responsibility.
Ethical consideration in artificial intelligence is becoming a strategic imperative for companies looking to maintain credibility and trust. Consider IBM for instance, their focus on ethical AI use, and adherence to the AI laws, established them as ethical and moral tech leaders.
The new era of talent assessment
As long as the field of artificial intelligence continues to advance, new legal and regulatory frameworks will be created to control it. Companies need to stay informed about these regulations.
Not only just that but also predict and anticipate future movements and potential legal issues that could impact their AI strategies. And mainly to avoid potential legal liabilities.
Overall, keeping up-to-date on legislative plots and adapting AI strategies accordingly is a necessary component of responsible AI implementation.
How to comply with AI laws
To comply with these laws, you have to have an understanding of both local and global AI regulations.
Companies may need to develop different algorithms for different markets, ensuring interoperability and dedication to legal standards.
To sum up:
As AI continues to grow and transform the way we work, it is important to remember that its impact goes beyond technology alone.
It also has significant legal implications that can impact businesses and society as a whole.
We can ensure ethical and responsible usage of AI and equitable sharing of its benefits by staying informed and proactive.
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.
