Diversity and equality

To mitigate risk and harness the promise of AI, a fundamental best practice is to evaluate and assess AI systems or tools before using them.

The specialty insurer is changing up its requirements for some positions, about one-third of jobs don't require a four-year college degree.

Ethical considerations when implementing AI include making sure data the models are built on is clean, standardized and tested.

A new survey from Indeed revealed why women could use more support from their employers when it comes to new tech.

Predictable tasks are made for today's generative AI. The technology could revolutionize the underwriting process as long as it can keep its bias in check.

Insurers are redoubling their efforts to attract and recruit new employees from Gen Z, as the industry contemplates as many as 50% of current insurance professionals retiring in the next 15 years.

Women, minorities and non-corporate workers are still struggling to feel seen by their employers.

Stand With Asian Americans is launching a new tool this week for people to make complaints about bias they've experienced at work.

Research from Deloitte and Gamma Iota Sigma reveal insights to help shape recruiting strategies.

Insurers considering using Gen AI for claims, underwriting and other operational functions will need to watch out for "hallucinations," the phenomenon of Gen AI language models producing inaccurate or nonsense results.

The same conservative activists who helped gut race-related college admissions at the U.S. Supreme Court have now set their sights on corporate diversity programs

The insurance industry is proactively providing education and information to victims of domestic abuse.

New research from Arizent finds respondents rate their companies' DEI efforts higher than their industries'.

As the insurance industry undergoes digital transformation, it has a unique opportunity to integrate diversity, equity and inclusion into its structure.

Meaningful progress on DEI initiatives has a real effect on the workforce. We examine the dynamics that drive this conclusion and what it means for companies.

It is essential to keep in mind several regulatory considerations regarding data, cybersecurity, fairness and inclusion to stay ahead of the evolving supervisory and regulatory trends.

Brown's approach to diversity in business allows firms to compete on equal footing with larger competitors, which increases collaboration and yields stronger business results.

The senior data scientist shares about his work in identifying demographic bias in machine learning models.

The insurance industry is trying to attract and retain a younger workforce as many insurance companies are facing an aging employee demographic. Insurers are working to diversify as people of color in the industry are still underrepresented and tapping into educational opportunities to create a direct talent pipeline.

Colleges and universities are partnering with insurance carriers to offer insurtech, insurance and risk management programs.