Recruiter's AI Digest #62
Resources and perspectives to keep you ahead of the curve as AI deepens its impact in Recruiting. 🤖
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This week’s digest
Check out the awesome material this week 📖 :
Are humans better than AI
(Johannes Sundlo | Fullstack HR)Reinventing customer service with AI
(Intercom)Higher earners face greater AI exposure, study finds
(FT)Runway Labs releases ultra realistic AI video generation
(Runway Labs)
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Are humans better than AI?
(Johannes Sundlo | Fullstack HR)
TLDR: AI and humans both have biases, but AI can help reduce unconscious biases in recruitment by focusing on objective criteria. Ignoring AI's potential due to bias fears may lead to poorer outcomes.
Bias Comparison: Both AI and humans have biases, but AI is often unfairly held to a higher standard. Humans exhibit cognitive biases like confirmation bias and the halo effect.
AI in Recruitment: AI can reduce unconscious biases in hiring by focusing on skills and qualifications, offering a more objective assessment than human recruiters. Its efficiency in handling large volumes of applications allows human recruiters to concentrate on complex evaluations, improving overall decision-making.
Ethical Considerations: The ethical question should be whether it’s right to exclude AI when it can enhance fairness and accuracy. Ignoring AI's potential due to bias fears might lead to poorer outcomes. We need to consider when it’s appropriate to rely on AI. If AI can improve predictions and assessments, using it might lead to better, less biased decisions and enhance fairness in HR processes.
Reinventing customer service with AI
(Intercom)
Super interesting and informative breakdown on AI more generally, and how Intercom is building AI to reinvent customer support.
Significant AI Advancements:
Breakthroughs in natural language processing and machine learning, such as transformers, enable AI to understand and generate text with remarkable accuracy. Scaling these models with vast data has unlocked new capabilities, including complex reasoning and contextual understanding.
Challenges and Solutions:
Key challenges like AI hallucinations are addressed with techniques such as retrieval-augmented generation (RAG), which improves accuracy by using trusted sources. Intercom's AI, Fin, demonstrates significant improvements in resolving customer queries reliably.
Future Prospects:
The potential of AI in customer service is immense, with future AI agents expected to handle complex queries and proactive tasks. The focus is on integrating AI into workflows to ensure high-quality, autonomous operations while managing risks effectively.
Higher earners face greater AI exposure, study finds
(Financial Times)
TLDR: Higher earners face greater AI impact, with tasks more likely to be automated vs. jobs that require manual labor.
High-Earners at Greater Risk:
Research indicates higher earners, such as software engineers and data scientists, are more exposed to AI's impact than lower-paid workers. Approximately 18.5% of workers have jobs where over half their tasks could be significantly affected by AI advancements.
Widespread Job Exposure:
Analysis of 923 occupations revealed that AI could potentially cut task completion time by half without reducing quality, primarily affecting high-skilled jobs. Professions like blockchain engineers, clinical data managers, and financial quantitative analysts are most vulnerable, while manual labor jobs remain largely unaffected.
Uncertain Long-Term Effects:
The study underscores uncertainty regarding AI's long-term impact on labor demand. While AI exposure could boost productivity, it also raises concerns about increasing inequality and job disruption, particularly in highly skilled industries.
Diverse Sector Impacts:
The research highlights varied impacts across sectors, with knowledge-intensive jobs being most affected. This aligns with findings from other studies, such as a UK government report indicating significant effects on finance professionals in the City of London.
Read it here.
Runway Labs releases ultra realistic AI video generation
(Runway Labs)
TLDR: Not much to read here - just check out some of the examples here to see how realistic AI video generation is becoming.
Link here: https://runwayml.com/blog/introducing-gen-3-alpha/
Far reaching consequences for film / TV and the jobs involved in content / video creation.
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