AI Trust Framework
Human-in-the-loop AI, Latest News & Upcoming Events
Hi everyone! Over the past two weeks, it was great to see many of you attend several high-quality executive gatherings and conferences hosted by customers and partners.
Leaders trust, and AI adoption is a thing!
A prevailing theme in discussions about the state of AI is the importance of both adoption and trust.
While safety has been discussed, today I want to focus on trust. But what does trust mean in this context?
Let's categorize AI into two distinct types that have emerged in HR and recruiting: "Human-in-the-loop" and "embedded AI."
During one of the recent events, a GenX person surveyed her peers about trust in institutions and why they are distant and provide limited information. Trust often starts with one's expectations, which are closely linked to the question "What's in it for me?" or what are the incentives to ensure action?
In many cases, embedded AI is about the interests of the company, and that's okay. But what role can you play? Human-in-the-loop AI is in the interest of the job.
It's important to consider the context of human in the loop, in relations to careers, jobs, and tasks.
- How is trust put into context, and does it align with expectations? What is the context, and what are the expectations?
A purpose is always important in order to answer this. This is where it's handy to have your own personal mission statement. Mine and that of our company, Eq.app, is:
"To unlock opportunities through inclusion, innovation, and inspiration." What's yours?
As an individual, here are some examples of the trust issues:
Questions to consider:
Does this company have my best interests at heart?
What problem are you solving?
We often hear about the cost of delivery in high-demand jobs and the opposite in high-supply jobs, as well as the fluctuating cost of customer acquisition in recruiting.
"At EQ.app, the main problem we are working on is reducing costs using AI. My advice is that if you have deep domain experience or lead a team or company, you have a significant advantage with AI, especially in recruiting. This is because you understand something that AI does not yet know intimately: "people". The AI will find another human to partner with."
Tools To Try
EQbuddy: The AI for Fast & Easy Recruiting, connecting you with the right people and knowledge to save you time.
Vidyo: It's a cost-effective and must-have for content creators or brands looking for top-notch video content.
Events
Live Audio:
AI in Recruiting
Thu, Oct 24, 2024, LinkedIn Live 1pm PST
In-Person:
Talent and TIARAs Conference
Date November 13 - November 14
Join us for the two-days in Atlanta, where HR and Talent Acquisition leaders will navigate the evolving landscape of workforce development. Enjoy inspiring keynotes, explore trends and innovations, and engage in expert-led roundtable discussions.
In the News:
Headline: How adding AI in the hiring lifecycle boosts placements and retention
Source: Staffing Industry Analysts (SIA)
Summary:
📌 Key Points
Significant Growth: Integrating AI into the hiring lifecycle has shown to significantly boost both placements and retention rates, transforming traditional recruitment processes.
Shift in Recruitment Dynamics: AI technology is reshaping recruitment by streamlining processes, improving candidate matching, and enhancing decision-making capabilities.
Factors Driving Change:The adoption of AI in hiring is driven by the need for efficiency, accuracy, and the ability to handle large volumes of data, which traditional methods struggle to manage.
📚 Learnings
Improved Candidate Matching: AI algorithms can analyze vast amounts of data to match candidates with job openings more accurately, leading to better placements.
Enhanced Retention: By identifying candidates who are a better fit for the company culture and role, AI helps improve employee retention rates.
🔍 Perspective
The integration of AI in the hiring process underscores a broader trend towards leveraging technology to enhance recruitment efficiency and effectiveness. This shift is not only improving placement and retention rates but also reshaping the future of work by emphasizing data-driven decision-making.
Headline: Nvidia signs a slew of AI-related deals in India
Source: TechCrunch
Summary:
📌 Key Points
Significant Growth: Nvidia is deepening its AI drive in India through new partnerships, marking a significant expansion in the region.
Strategic Partnerships: The company is collaborating with Indian firms to deploy its AI chips and technology, aiming to tap into India's burgeoning market for AI solutions.
Factors Driving Change: This expansion is driven by India's large pool of tech talent and the increasing demand for AI-driven solutions across various sectors.
📚 Learnings
Innovation and Collaboration: Nvidia is focusing on innovation through collaboration with local companies, leveraging India's technological capabilities and market potential.
Market Potential: India is seen as a crucial growth market for Nvidia, given its strategic importance in the global AI landscape.
🔍 Perspective
Nvidia's strategic partnerships in India underscore a broader trend of global tech companies investing in emerging markets. This move highlights the importance of India in Nvidia's global strategy and its commitment to fostering a robust ecosystem for AI development and deployment.
That’s all; I encourage you to reflect on your personal mission statement and how it aligns with the role of AI in your work. I would love to hear your thoughts!
Stay curious, keep exploring, and until next week— keep pushing boundaries with AI in Recruiting!