In a world of driver-less cars and artificial intelligence, companies have an increased need to focus on safety in the workplace. Getty Images

New technologies — driverless vehicles, delivery drones, and AI — are making an accelerated push into operational excellence across industries, and are generating a lot of attention. Hype notwithstanding, we need to also think also about safety and risk and how to prevent safety incidents before they occur so that safety operates in partnership with new technologies and innovation.

Today, safety as process that is wrapped into ones' organizational culture requiring companies to look beyond intended performance and innovation breakthroughs, to their own assumptions about safety. And how it works and does not work, despite best efforts, financial investments and operations programs that are intended to create a culture that is incident free in the workplace.

When firmly in place, an effective safety culture instills an environment where employees differentiate between events which, while detrimental to performance, have low probability of generating an incident, and those with seemingly minimal impact on performance, yet high probability of escalation into full-blown safety incidents, accidents and sometimes deaths.

Six safety principles

Creating safety in the workplace requires a new and different mindset which incorporates six sustainable safety behaviors:

  1. Leadership consistently practice positive regard and good intent to articulate, demonstrate and reinforce employee behaviors that exemplify a commitment to safety.
  2. Leadership clearly communicate safety objectives and provide employees information to enable and empower employees to make value-based decisions and set priorities consistent with their levels of accountability and roles in the organization.
  3. Leadership supports employees identifying real and perceived barriers to a safe environment in compliance with policies, regulations and risks.
  4. Leadership practice positive employee regard to encourage, and assume good intent to accept, constructive challenges to policies and practices that have little or no value.
  5. Leadership support and create an environment in which commitment to identify risks during the course of one's work activities and take action, when first seen, creates a mindset that will genuinely transform the organization.
  6. Leaders are visible and consistently viewed by employees as champions of safety every day.

Safety mindset threats

Many current safety efforts occur after the incident takes place. In other words, after an injury happens — someone falls off a lift, for example — actions are taken to prevent similar injuries in the future. This is known as reactive safety and is not an ideal solution. If we can determine the why of an accident, safety can become proactive.

An effective safety program trains everyone, and encourages safety precautions, as well as strives to understand and reduce risk, rather than waiting for an accident to occur.

With an effective safety program in place your focus is always on preventing injuries before they occur and targeting 80 to 90 percent of the risk. Through utilization of this kind of process worker-controlled program, precautions can prevent injuries, reinforces these behaviors, identifies and removes systems, conditions and obstacles that make it difficult or impossible to take the right precautions.

In addition, employees may be practicing vicious compliance, in contrast to authentic commitment to process safety, in which they follow management's policies, procedures and other mandates "to the letter", even in situations where other choices would make more sense.

The workforce may act unilaterally based on their own assumptions, for example:

  • "They talk a good game about process safety, but I know it's really about getting the work done. I'll operate to get the desired production rate, even if this pushes the equipment to its limit." Indeed, the oft-ignored employee assumption and resulting belief is that production trumps process safety.
  • Employees' reliance upon personal experience to evaluate risk of low-frequency events: "As an employee, my experience teaches me that I've worn my personal protective equipment 100 times and there has never been an incident. So, if I don't wear it this one time, especially since I am so busy, it seems to me that the associated risk of an incident is quite low. So, why does management constantly 'get on me' about wearing it? Aren't there more important issues facing us?"

Routine behavior often includes silence or compliance, but with little challenge of issues or conversation about what could or might happen. As a result, management may perceive that all is well when in fact employees have significant concerns and issues.

To avoid major safety incidents, both known and unknown, an organization can take process safety to the next level by:

  • Exploring and challenging deeply-held beliefs, values, and assumptions by examining the underlying antecedents of process safety behaviors and utilizing new technology systems that shut down operation when a safety situation is first detected before an incident occurs.
  • Achieving the desired operational discipline, including paperless documentation, setting expectations, defining critical cyber secure procedures, and linking executive bonuses to achieving safety goals.
  • Focus on practicing a leveraged safety program that delivers results in the most effective and efficient mean possible by frequently focusing on decreasing threats, risks and increasing attention and communications to prevention, detection and correction.

The ultimate effective safety process and program relies upon effective use of new technologies in the workplace self- and organizational awareness, and the constant, never-ending focus on safety everyday and minute that we spend in the workplace.

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Mark Hordes is principal at Houston-based Mark Hordes Management Consultants LLC, an organizational consulting advisory.

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Houston researchers develop material to boost AI speed and cut energy use

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A team of researchers at the University of Houston has developed an innovative thin-film material that they believe will make AI devices faster and more energy efficient.

AI data centers consume massive amounts of electricity and use large cooling systems to operate, adding a strain on overall energy consumption.

“AI has made our energy needs explode,” Alamgir Karim, Dow Chair and Welch Foundation Professor at the William A. Brookshire Department of Chemical and Biomolecular Engineering at UH, explained in a news release. “Many AI data centers employ vast cooling systems that consume large amounts of electricity to keep the thousands of servers with integrated circuit chips running optimally at low temperatures to maintain high data processing speed, have shorter response time and extend chip lifetime.”

In a report recently published in ACS Nano, Karim and a team of researchers introduced a specialized two-dimensional thin film dielectric, or electric insulator. The film, which does not store electricity, could be used to replace traditional, heat-generating components in integrated circuit chips, which are essential hardware powering AI.

The thinner film material aims to reduce the significant energy cost and heat produced by the high-performance computing necessary for AI.

Karim and his former doctoral student, Maninderjeet Singh, used Nobel prize-winning organic framework materials to develop the film. Singh, now a postdoctoral researcher at Columbia University, developed the materials during his doctoral training at UH, along with Devin Shaffer, a UH professor of civil engineering, and doctoral student Erin Schroeder.

Their study shows that dielectrics with high permittivity (high-k) store more electrical energy and dissipate more energy as heat than those with low-k materials. Karim focused on low-k materials made from light elements, like carbon, that would allow chips to run cooler and faster.

The team then created new materials with carbon and other light elements, forming covalently bonded sheetlike films with highly porous crystalline structures using a process known as synthetic interfacial polymerization. Then they studied their electronic properties and applications in devices.

According to the report, the film was suitable for high-voltage, high-power devices while maintaining thermal stability at elevated operating temperatures.

“These next-generation materials are expected to boost the performance of AI and conventional electronics devices significantly,” Singh added in the release.

Houston to become 'global leader in brain health' and more innovation news

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Editor's note: The most-read Houston innovation news this month is centered around brain health, from the launch of Project Metis to Rice''s new Amyloid Mechanism and Disease Center. Here are the five most popular InnovationMap stories from December 1-15, 2025:

1. Houston institutions launch Project Metis to position region as global leader in brain health

The Rice Brain Institute, UTMB's Moody Brain Health Institute and Memorial Hermann’s comprehensive neurology care department will lead Project Metis. Photo via Unsplash.

Leaders in Houston's health care and innovation sectors have joined the Center for Houston’s Future to launch an initiative that aims to make the Greater Houston Area "the global leader of brain health." The multi-year Project Metis, named after the Greek goddess of wisdom and deep thought, will be led by the newly formed Rice Brain Institute, The University of Texas Medical Branch's Moody Brain Health Institute and Memorial Hermann’s comprehensive neurology care department. The initiative comes on the heels of Texas voters overwhelmingly approving a ballot measure to launch the $3 billion, state-funded Dementia Prevention and Research Institute of Texas (DPRIT). Continue reading.

2.Rice University researchers unveil new model that could sharpen MRI scans

New findings from a team of Rice University researchers could enhance MRI clarity. Photo via Unsplash.

Researchers at Rice University, in collaboration with Oak Ridge National Laboratory, have developed a new model that could lead to sharper imaging and safer diagnostics using magnetic resonance imaging, or MRI. In a study published in The Journal of Chemical Physics, the team of researchers showed how they used the Fokker-Planck equation to better understand how water molecules respond to contrast agents in a process known as “relaxation.” Continue reading.

3. Rice University launches new center to study roots of Alzheimer’s and Parkinson’s

The new Amyloid Mechanism and Disease Center will serve as the neuroscience branch of Rice’s Brain Institute. Photo via Unsplash.

Rice University has launched its new Amyloid Mechanism and Disease Center, which aims to uncover the molecular origins of Alzheimer’s, Parkinson’s and other amyloid-related diseases. The center will bring together Rice faculty in chemistry, biophysics, cell biology and biochemistry to study how protein aggregates called amyloids form, spread and harm brain cells. It will serve as the neuroscience branch of the Rice Brain Institute, which was also recently established. Continue reading.

4. Baylor center receives $10M NIH grant to continue rare disease research

BCM's Center for Precision Medicine Models has received funding that will allow it to study more complex diseases. Photo via Getty Images

Baylor College of Medicine’s Center for Precision Medicine Models has received a $10 million, five-year grant from the National Institutes of Health that will allow it to continue its work studying rare genetic diseases. The Center for Precision Medicine Models creates customized cell, fly and mouse models that mimic specific genetic variations found in patients, helping scientists to better understand how genetic changes cause disease and explore potential treatments. Continue reading.

5. Luxury transportation startup connects Houston with Austin and San Antonio

Shutto is a new option for Houston commuters. Photo courtesy of Shutto

Houston business and leisure travelers have a luxe new way to hop between Texas cities. Transportation startup Shutto has launched luxury van service connecting San Antonio, Austin, and Houston, offering travelers a comfortable alternative to flying or long-haul rideshare. Continue reading.

Texas falls to bottom of national list for AI-related job openings

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For all the hoopla over AI in the American workforce, Texas’ share of AI-related job openings falls short of every state except Pennsylvania and Florida.

A study by Unit4, a provider of cloud-based enterprise resource planning (ERP) software for businesses, puts Texas at No. 49 among the states with the highest share of AI-focused jobs. Just 9.39 percent of Texas job postings examined by Unit4 mentioned AI.

Behind Texas are No. 49 Pennsylvania (9.24 percent of jobs related to AI) and No. 50 Florida (9.04 percent). One spot ahead of Texas, at No. 47, is California (9.56 percent).

Unit4 notes that Texas’ and Florida’s low rankings show “AI hiring concentration isn’t necessarily tied to population size or GDP.”

“For years, California, Texas, and New York dominated tech hiring, but that’s changing fast. High living costs, remote work culture, and the democratization of AI tools mean smaller states can now compete,” Unit4 spokesperson Mark Baars said in a release.

The No. 1 state is Wyoming, where 20.38 percent of job openings were related to AI. The Cowboy State was followed by Vermont at No. 2 (20.34 percent) and Rhode Island at No. 3 (19.74 percent).

“A company in Wyoming can hire an AI engineer from anywhere, and startups in Vermont can build powerful AI systems without being based in Silicon Valley,” Baars added.

The study analyzed LinkedIn job postings across all 50 states to determine which ones were leading in AI employment. Unit4 came up with percentages by dividing the total number of job postings in a state by the total number of AI-related job postings.

Experts suggest that while states like Texas, California and Florida “have a vast number of total job postings, the sheer volume of non-AI jobs dilutes their AI concentration ratio,” according to Unit4. “Moreover, many major tech firms headquartered in California are outsourcing AI roles to smaller, more affordable markets, creating a redistribution of AI employment opportunities.”