Recruiter's AI Digest #46
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 📖 :
OpenAI Tool Creates Realistic AI Videos
(WSJ)The hidden cost of using algorithms to manage people.
(Nico Orie)"AI native" Gen Zers are comfortable on the cutting edge
(Axios What’s Next)Google Launches €25 Million AI Opportunity Initiative for Skills Training Across Europe
(Maginative)AI Could Actually Help Rebuild The Middle Class
(NOEMA)
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OpenAI Tool Creates Realistic AI Videos
(WSJ)
OpenAI introduces Sora, an AI that converts text into realistic videos, pushing the boundaries of digital content creation. This tool allows for vivid renditions of everything from daily activities to fantastical scenes, positioning OpenAI alongside tech giants in AI-video innovation.
It’s only available to a small set of users, but it looks like it could be a game-changer.
🚨**Pro Tip**: One thing I’ve found through my own testing (including with tools like https://pika.art which is another AI video creator) is that oftentimes the demos of these AI tools are a lot more impressive than the actual thing. So make sure to try before you buy! 🚨
The hidden cost of using algorithms to manage people.
(Nico Orie)
Nico Orie, VP of People & Culture at Coca-Cola Europe, is back at it, sharing invaluable insights on AI x People. In his latest piece, he delves into the research revealing the hidden costs of utilizing algorithms for managing personnel tasks. Giants like Amazon and Uber are at the forefront of this technological management shift, yet, this approach comes with its own set of challenges, particularly in fostering workplace collaboration and well-being.
Reduced Peer Support: Employees under algorithmic management offer 20% less advice to colleagues, impacting advice quality. 🤝
Monitoring Downside: Algorithmic performance monitoring notably dampens motivation, even when human managers play a role. 📉
Prosocial Behavior Risk: The objectification feeling from algorithmic evaluation may decrease prosocial behaviors among employees. 😕
Inclusive Strategies: Involving employees in the design and implementation of algorithmic tools may mitigate negative impacts. 🌐
Reevaluation Suggestion: Considering alternatives to algorithmic performance monitoring to preserve employee well-being and productivity. 🔄
You can read the post here (make sure to give Nico a follow)
"AI native" Gen Zers are comfortable on the cutting edge
(Axios What’s Next)
Jennifer Kingston sheds light on the enthusiastic embrace of generative AI (GAI) by Gen Z, highlighting a generational shift in attitudes towards AI's role in education and the workforce. Unlike the apprehension seen in older generations, college students and recent graduates are leveraging GAI technologies like ChatGPT and DALL-E, viewing them as crucial tools for gaining a competitive edge in their careers.
Generational Advantage: Gen Z, or "AI natives," prioritize learning AI skills, positioning themselves ahead of older "digital natives." 🚀
Educational Trend: A surge in GAI course enrollments reflects the ambition to secure jobs requiring these competencies. 📚
Career Optimism: With a significant portion of tech majors planning to incorporate GAI into their careers, there's a clear trend towards recognizing its value. 💡
Less Anxiety Over AI: Gen Z shows less concern about AI's risks, focusing instead on its potential to revolutionize job opportunities. 🤖
Read the post here.
Google Launches €25 Million AI Opportunity Initiative for Skills Training Across Europe
(Maginative)
Google has initiated a €25 million AI Opportunity Initiative aimed at fostering AI literacy and skills across Europe. This ambitious program targets equipping diverse communities with the knowledge and tools needed to thrive in an AI-driven future, focusing on three main areas: skill development for vulnerable groups, support for AI startups, and free AI courses.
AI Skills Development: With €10 million in funding, Google.org aims to provide AI skills training to workers from underserved backgrounds, partnering with nonprofits and social enterprises for localized, accessible education.
Support for AI Startups: Google for Startups Growth Academies will offer mentoring and resources to early-stage startups in health, education, and cybersecurity, helping them to innovate and scale.
Free Introductory AI Courses: Google plans to broaden access to AI education through free online courses, translating content into 18 languages and integrating applied AI lessons into career certificate programs.
If you or your teams are interested you can try the free courses here.
AI Could Actually Help Rebuild The Middle Class
(NOEMA)
In a thought-provoking essay for Noema Magazine, David Autor, a renowned labor economist and MIT professor, explores the transformative potential of artificial intelligence (AI) in reshaping the labor market. Autor challenges the pervasive fear that AI will lead to widespread job losses, instead arguing that AI presents an opportunity to rebuild and strengthen the middle class by extending expertise to a broader set of workers.
Highlights from David Autor's Insights:
Demographic Realities: The current labor shortage in industrialized countries, exacerbated by declining birth rates, suggests a future where jobs outnumber workers. Autor emphasizes
"All the people who will turn 30 in the year 2053 have already been born and we cannot make more of them."
Redefining Expertise: AI has the potential to democratize expertise, allowing a wider range of workers to engage in decision-making tasks traditionally reserved for a highly educated elite.
"The unique opportunity that AI offers humanity is to push back against the process started by computerization — to extend the relevance, reach and value of human expertise for a larger set of workers."
The Evolution of Jobs: Autor reflects on how occupations have historically evolved with technological advancements, creating new demands for expertise and reshaping the job market. He posits that AI will continue this trend, automating some jobs while creating new opportunities and demands for different types of expertise.
Economic Inequality and AI: The essay critiques the concentration of decision-making power among a minority with elite education, a trend exacerbated by computerization. AI, Autor suggests, could counteract this by making decision-making more accessible to a broader workforce, potentially reducing income inequality.
AI as a Tool for Empowerment: Autor draws parallels with historical technological advancements to argue that AI, like tools of the past, should not replace human expertise but augment it. For example, during the Industrial Revolution, mass production technologies like the steam engine and mechanized looms transformed artisanal craftsmanship into factory-based production. This shift increased efficiency and product accessibility but reduced the need for skilled artisanal labor, illustrating how technological advances can reshape the demand for human expertise and the nature of work.
The Future of Work and AI: Looking forward, Autor urges a focus on how AI can be used to enhance human work rather than replace it. He advocates for a collective decision-making approach to AI deployment, emphasizing the importance of steering AI development towards broadening prosperity and enhancing the dignity of work.
Read it here.
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