NYC AI Law Update – 4 Important Things You Need to Know

UPDATE: Local Law 144 will now go into effect on May 6, 2023.

This is an update to our initial post on the upcoming NYC Law. 

With less than six months to go before a new AI audit law goes into effect in New York City, new details are emerging to give us a better understanding of how the legislation–and penalties for noncompliance–will be implemented. 

Local Law 144 of 2021, as it’s known, issues updated guidelines for employers using AI in hiring. Part of a quickly growing practice, AI tools are in high demand for companies looking to speed up preliminary candidate screening and enable efficiency in the hiring process. In order to avoid introducing unintended bias into those actions, however, the AI must be responsible. There are several key attributes of Responsible AI, the net result of which is fully explainable machine learning systems structured to avoid biases that could skew results unfairly. 

There are still many questions around the details of the NYC audit law, which says companies using “automated employment decision tools” must first submit them to an independent bias audit and notify candidates at least ten days before an AI tool is used to allow for accommodations. But now we know more about what happens to those who don’t comply.

 

The latest update:

 

  • Each day an employer uses an automated employment decision tool in violation of the law counts as a separate violation. 
  • An employer’s failure to provide notice to a candidate or employee constitutes an additional daily violation.
  • Potential violations will be viewed quite broadly, setting forth penalties applicable to “all subdivisions, paragraphs, subparagraphs, clauses, items or any other provision.”
  • Fines for first time violations start at $375 per infraction; second violations start at $1350.

Plenty of questions still remain around the logistics of the new law, including who will conduct the required impartial audits and what standard will be used to determine any disparate impact on job candidates. We’ll be watching for those updates in the coming weeks and months, and will be sharing them here. 

 

retrain.ai is a talent intelligence platform designed to help enterprises hire, retain, and develop their workforce, intelligently. Leveraging AI and real-time labor market data, enterprises unlock talent insights and optimize their workforce effectively to lower attrition, win the war for talent and the great resignation in one, data-driven solution. To learn more book a demo

How AI Can Enhance the Human Experience at Work

Can’t AI be considered a threat to people’s jobs? How can we view it as a positive for HR?

By providing a skills view of an enterprise’s workforce, AI-powered talent intelligence can highlight best-fit positions and new opportunities for employees within the organization, as well as suggested development courses to help them get there. As a result, HR leaders can offer personalized career pathing at scale, investing meaningful effort into each and every employee. 

In this clip from our 3Sixty Insights vidcast, retrain.ai co-founder and COO Isabelle Bichler-Eliasaf discusses the power of personalized professional development to lower attrition and engage employees.


retrain.ai is an AI-powered matching engine already prepped for the future. Structured first and foremost around Responsible AI, our solution connects the right talent to your open roles and career pathways by tapping into their skills, capabilities, and aspirations, making sure you reduce attrition and retain the right talent. To see it in action, request a demo.

Responsible AI and the Algorithms That Fuel DEI

How can HR leaders ensure their AI is supporting DEI efforts? 

To accelerate DEI goals, the ultimate aim of responsible AI is to solve potential unintended bias. As such, machine learning models must be specifically designed using fairness algorithms that focus on skills without incorporating demographic or other information that could skew unbias results.


retrain.ai is an AI-powered matching engine already prepped for the future. Structured first and foremost around Responsible AI, our solution connects the right talent to your open roles and career pathways by tapping into their skills, capabilities, and aspirations, making sure you reduce attrition and retain the right talent. To see it in action, request a demo.

Employee Skills Data and the Future of Work: Insights Tell the Story

How can HR leaders successfully build a skills-based talent pipeline in an ever-changing world of work? 

Analyzing and forecasting in-demand skills enables us to see what job opportunities exist now and what learning and development opportunities could help enterprises and their employees prepare for the jobs of the future. 

In this clip from our 3Sixty Insights vidcast, retrain.ai co-founder and COO Isabelle Bichler-Eliasaf discusses the billions of data points that feed such predictive analytics, and what value the resulting insights hold for organizations preparing for the future of work. 

retrain.ai is an AI-powered matching engine already prepped for the future. Structured first and foremost around Responsible AI, our solution connects the right talent to your open roles and career pathways by tapping into their skills, capabilities, and aspirations, making sure you reduce attrition and retain the right talent. To see it in action, request a demo.

Customer Chat: Maccabi Healthcare Services (part 2)

Welcome to part two of excerpts from our conversation with Yael Rotem-Sher, Organizational Development Manager, and Ifat Alfasi, Head of Learning and Development, Maccabi Healthcare Services. In this post, we’ll focus on skills development and career-pathing. If you’re not caught up on part one, you can read about the keywords approach in our previous post, and for a deeper dive check out our Skills Extraction whitepaper to learn how semantics, not keywords, are the ROI differentiators.

If you’re interested in viewing the vidcast in its entirety, you can do that here.

 

How do you view the recent focus on skills-based talent acquisition, talent management, and L&D? 

 

In the past, or in some cases still, most organizations look at career management in terms of jobs. You go from job to job to job to job. Nowadays, we look at this through a different lens–a skills lens. Which skills are required for multiple jobs, and can also be beneficial in other things? And for your specific job, which skills do you need to be able to continue doing it? We’re looking at everything from a 3D perspective. Not just, “here’s the job, and here’s the ladder” that we were used to. It’s a much more complex climbing wall. 

Building on the climbing wall idea, we wanted to give employees more tools to be in charge of their own career paths and to strengthen their employability. The first way we do that is by moving people within the organization, giving people different roles. The second is focusing on learning–personal and professional development. Maccabi has some amazing projects that enable employees to experiment with managing a project from start to finish, not as part of your job, but as a separate project. This gives them experience and skills that contribute to their value as an employee in our organization–and outside of it. Today it’s not a bad word to think of your value both in and out of your organization.

 

How does Maccabi build on that idea to help employees grow from skills development to career-pathing? 

 

When we look at learning & development for an employee, we first focus on specific skills: Which skills should be strengthened? Which skills should you invest time in as you build your career path? The process isn’t immediate gratification–it won’t give employees available positions immediately. Our aim is that it will help us with long-term planning. If as an employee I’m in point A, I’ll set point B and point C as my goals. Then I’ll plan my way there: These are the areas I should move forward to that match my skills. Which other skills do I need to upgrade and work on?

In practice, we want to create a visual marketplace; a website, or page on our website where our employees can go through retrain’s intake process, then click on jobs they find interesting, get to the landing page of our recruitment department and see available positions. If the position they fit into isn’t available now, maybe it will open up six months or a year from now. In the meantime, they can see which skills to work on and enter our online learning system to see L&D opportunities curated by retrain.ai’s system. It’s an image of the future. 

It’s a lot of work to create this but this is our goal– to give our employees and our managers the ability to plan their climbing wall strategically, based on skills. It’ll come into play in feedback and evaluation talks, employees will be more career-oriented and many parts of the organization will work with the recruitment department. And wow, the sky is the limit with this process.

 

How does the marketplace look from an employee perspective? From an organizational perspective?

  

At the end of the day, it’s like an employee’s navigation tool–like Waze for the career world. They are able to use the tool based on their skills, their wants and aspirations, combined with the current market demand and their company’s goals. They can enter the portal, see existing options, see whether–or when–they’re available and in essence take the wheel on steering their career. If they see a role they like, they can upskill for it by purchasing courses. For example, if you want to become a data analyst, you must learn python; here are relevant python courses. You don’t need to get confused by the variety. It’s a win-win for the organization and the employee.

From the business side, retrain.ai gives our organization the ability to generally map and detect the low-skill vulnerabilities to see where we need to develop. It can give sectorial maps, geographical and regional maps– it betters our organizational vision.

For example, ‘analyst’ is a growing profession all over the world including within Maccabi. We need more and more people skilled in this field. So if I plan to develop an analyst program, I’ll use this system and it will tell me who has the right skills and potential to become a data analyst. Then, I can very quickly pick them without a huge process of mapping out people. Based on that, I can also plan for the needs of the recruitment department. It opens a lot of opportunities and potential. 

retrain.ai is an AI-powered matching engine already prepped for the future. Structured first and foremost around Responsible AI, our talent intelligence platform connects the right talent to your open roles and career pathways by tapping into their skills, capabilities, and aspirations, making sure you reduce attrition and retain the right talent. To see it in action, request a demo

Customer Chat: Maccabi Healthcare Services (part 1 of 2)

More than two years since the start of the pandemic, hospitals around the world are still grappling with burnout, battling some of the worst staffing shortages in decades. Even before Covid-19, the U.S. public health system was under strain; a recent McKinsey report found that the public health workforce shrank by more than 15% over the past 10 years.

Maccabi Healthcare Services faced similar staffing and attrition challenges when they turned to retrain.ai. Together, we helped Maccabi create a harmonized view of their workforce, clarifying what deployable skills they already had in-house, the talent they could quickly upskill to fit their short- and long term needs, and the skills they would need to begin developing and hiring for going forward.

We sat down with Yael Rotem-Sher, Organizational Development Manager, and Ifat Alfasi, Head of Learning and Development, both from Maccabi, to talk about our collaboration. In the first of a two-part blog series, we’ll share excerpts from that conversation.

The full vidcast can be viewed here.

 

This is a journey into this very interesting project. Where did the need stem from? 

 

The first step was dreaming, visualizing what we wanted the future of Maccabi to look like. We looked at the current state, what problems we were facing, we looked at the world and asked ourselves which changes and adaptations were required. Then, we began building our dream of career management. 

Maccabi is a very large organization: 9,000 employees, 6,500 independent contractors; with subsidiaries, we’re over 120,000 people. At the end of the day, it’s a challenge because one can’t see the forest for the trees. 

Our second challenge was narrow pyramids in some roles. Most of our employees are caregivers; in that capacity, the pyramid you climb up is relatively narrow. Like everyone, we also began experiencing the trends in the labor market; although the percentage of people leaving Maccabi is relatively low compared to other organizations, it was still becoming a challenge. 

Thirdly, we looked at futuristic skills and understood we needed to develop our employees for the changes coming. In the past, an organization was in charge of its employees’ careers, but now, the power is in the hands of the employees. We asked ourselves,  how do we that shift? How do we make it accessible to them? How can we help them understand where and how they can develop? 

A big part of it also has to do with curatorship. Curatorship and accessibility were big challenges. Because everything is big in our organization, when we talk about personal and professional development, we’re talking about development in roles but also through learning and experimenting. And we wanted to make it all accessible. 

While we were starting to visualize this future, we mentioned our ideas to a vendor who put us in touch with retrain.ai.  When retrain.ai presented their concept to us, I felt like my dream was coming true. It was like… Where did you come from? With every word, we looked at one another in awe. They talked about everything we visualized in our future.

 

How was your collaboration as a fast-paced startup alongside a huge and perhaps a bit traditional organization? 

 

Maccabi may be defined as a very large, traditionally bureaucratic healthcare organization, but in terms of Learning & Development, when we look ahead, we think, where do we want to bring our organization? The ambitious goals we set ourselves are based on the organization’s strategic goals. We want to be a more agile, fast-paced, adaptable organization. We don’t want every process to take two years. This is what we have in common with retrain.ai, and that’s how we make it happen. Our partnership means we have backup. This doesn’t mean it will happen instandly across the whole organization, but it’s starting to sink in in many areas, enabling us to move forward quickly.

We also try to be as innovative as possible, which is why it’s no surprise that we met retrain.ai. We’re currently building training plans based on the fundamentals of where we want to go, and we progress by listening to the needs of our clients–in this case, participants in the program or even their managers. We always remain agile to modify and adapt.  and we build it as we go while listening to our clients’ needs. In this case,  the participant in the program or even their managers. We always remain agile enough to modify and adapt things.

 

How was the process of incorporating retrain.ai’s platform?  

 

We had always understood these to be long, time-consuming processes; by the time our database was updated, we’d have to do it again, as it will be outdated and irrelevant. Working in a very large organization, such processes aren’t easy; they take time and are impacted by bureaucracy and acquisitions. 

With retrain.ai, we brought them into our department’s management meetings because not only did their solution meet our needs as an organizational learning & development department, it also related to mobilization, recruitment, employee retention, employer branding–all fields of HR. From that, we were able to recruit quite quickly and see the benefits. In terms of learning & development, we had already been offering a multitude of opportunities but didn’t have the accessibility and curatorship we needed. These two elements come into play in retrain.ai’s solution, and our need was met. It was amazing. 

In our second in this two-part series, we’ll find out how retrain.ai supported Maccabi’s efforts around skills-based development and employee career pathing. 

retrain.ai is an AI-powered matching engine already prepped for the future. Structured first and foremost around Responsible AI, our solution connects the right talent to your open roles and career pathways by tapping into their skills, capabilities, and aspirations, making sure you reduce attrition and retain the right talent. To see it in action, request a demo

We (Literally) Need to Talk Money in NYC. Salary Transparency is Here.

Update: The New York City Council has now voted to push back the implementation of the pay transparency law to November 1, 2022.

Beginning in May, employers hiring in New York City will be required to give a minimum and maximum salary range within every job posting. The legislation, enacted by the NY City Council, is meant to course-correct pay inequities within organizations by keeping salary information out in the open. Beyond New York City, the trend has already been moving steadily forward. In 2020, a Pay Transparency Study from Mercer found that 67% of organizations viewed the practice as increasingly important. 

Continue reading “We (Literally) Need to Talk Money in NYC. Salary Transparency is Here.”

A New NYC Law Puts Pressure on Talent Intelligence: Will Your AI Solution Be Ready?

UPDATE: Local Law 144 will now go into effect on April 15, 2023. Learn more about the change here.

On January 1, 2023, a new law will take effect in New York City, aimed to more heavily regulate the use of AI in screening job candidates or employees up for promotion. The news follows an October 2021 statement from the U.S. Equal Employment Opportunity Commission, announcing updated guidelines for employers using AI in hiring.

Continue reading “A New NYC Law Puts Pressure on Talent Intelligence: Will Your AI Solution Be Ready?”

Redefining Talent Acquisition: How AI And Automation Is Closing The Unemployment Gap

As we navigate new and evolving employee requirements for work, now more than ever, an organization’s ability to adapt to the ever-changing tides rapidly is a strong indicator as to whether they will sink or swim. For years the writing has been on the wall in human resource and hiring practices. But not much has been done to improve the situation.

Continue reading “Redefining Talent Acquisition: How AI And Automation Is Closing The Unemployment Gap”