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Michael Tanella

Partner | Investor | Advisor | Executive Recruiter

Michael Tanella, Partner at 7Rivers, Inc.

Michael Tanella is a Talent Acquisition & Retention Expert and Executive Advisor who is dedicated to elevating brands. He currently serves as a Partner at 7Rivers, Inc., a talent acquisition and executive search firm.1

Tanella has extensive experience in the talent acquisition and recruitment industry. His LinkedIn profile shows that he previously worked at Weatherby Healthcare.2 He is also the Owner and Senior Talent Scout at Recruiting Wisdom LLC.4

Tanella's LinkedIn username is michaeltanella.134 He has over 500 connections on the platform and is based in Boca Raton, Florida.2

Highlights

Aug 21 · linkedin

AI-embedded employment tools – get ahead of bias: 🤖 🚀 💼

#responsibleAI #AIGovernance #AIInnovation #DiversityHiring

In today’s HR landscape, AI tools are becoming indispensable, yet still risky if not properly controlled. As AI touches every stage of the employment lifecycle, the potential for unintentional bias increases. It’s crucial for C-level executives to take a proactive approach by implementing robust governance frameworks that include clear purpose statements, defined organizational objectives, and ongoing human oversight. Aligning HRIS AI use cases with regulatory and data protection is essential for maintaining diversity, fairness, and the integrity of company culture. Strong governance and consistent bias testing will ensure that AI remains a powerful yet responsible tool for HR.

A few things to keep in mind when implementing:

  • Clearly define and communicate what your organization wants to achieve with AI in the HR process. This overarching goal will guide the lifecycle.
  • Assemble a Cross-Functional Team that Includes HR, IT, legal, & compliance in the governance structure to ensure diverse perspectives.
  • Create a comprehensive framework that outlines policies, rules-based metrics, and key objectives for AI usage. This framework should also include room for regular updates and adaptations.
  • Assess existing AI tools for potential biases by applying industry standards like the four-fifths rule (aka the 80% rule). Identify any areas where biases may arise in decision-making algorithms.
  • Establish CI/CD protocols to detect and mitigate biases in real-time.
  • Enhance Data Diversity used for AI models. This will help prevent overfitting and create a more inclusive candidate pool.
  • Develop clear metrics, measurability, and transparency across the organization which will build trust and accountability.
Aug 5 · linkedin

Gen AI: Transforming Industries from Act 1 to Act 2 🚀 #GenAI #AITransformation #DataDrivenLeadership #TechInnovation

Generative AI is not just another tech trend—it's a revolution reshaping industries from healthcare to finance, transportation to media. While we’re currently in "Act 1," witnessing groundbreaking demos and experiments, the real challenge lies ahead in "Act 2": operationalizing and scaling Gen AI to create sustainable, cost-effective solutions that drive business value and create lasting change for the better.

Key Challenges for Act 2:

  • Accuracy: Tackling inaccuracies and "hallucinations."
  • Bias: Ensuring unbiased, high-quality training data.
  • Ethics: Implementing robust guard rails and responsible AI practices.
  • Scalability: Managing unprecedented computational demands.
  • Cost: Making Gen AI economically viable for mass adoption.

As executives exploring the potential of Gen AI, consider how your data strategy, hybrid model integration, ethical standards, and scalability plans will drive your transition to Act 2. Choose partners who not only specialize in AI and Data but also have the overall business experience to understand your value proposition, competitive landscape, go to market plan, brand strategy, and talent demands. These relationships will allow you to navigate these challenges and capitalize on Gen AI's transformative power.

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Michael Tanella
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Location

Raleigh, North Carolina, United States