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Industry leaders from education, compliance, technology, and automotive sectors outline how accountability, governance, and human judgment can help organizations unlock AI’s potential without compromising ethical standards.
Artificial intelligence is rapidly transforming the way businesses operate, helping organizations improve efficiency, automate tasks, and unlock new capabilities. Yet as AI adoption accelerates, a critical concern is emerging across industries. Experts and leaders are questioning organizations’ responsibility to ensure ethical use of AI.
Industry leaders from education technology, compliance, cybersecurity, and automotive sectors agree that the answer lies not in limiting innovation but in building accountability, oversight, and governance into every stage of AI deployment.
Human Expertise Remains Essential
For Madeline Enos, Communications Leader at Preply, the future of AI is not about replacing people but empowering them. She advocates a model that combines technological advancement with human expertise.
“We are a human-led, AI-assisted product, and that’s our positioning in the marketplace because tutors and teachers have this wealth of experience and that human connection is super important to drive learning progress, but AI can be a very innovative tool, especially when you’re putting together a learning product,” Enos said.
Her perspective is reinforced by findings from a Preply survey of more than 1,000 US workers, which revealed a surprising downside to increased AI use in communication.
“51 percent of people are saying AI has made spontaneous conversation harder. And that 44 percent of people report freezing up in person with these conversations because they can’t edit their words first,” Enos noted.
While AI can help users build vocabulary and improve written communication, she believes human interaction remains indispensable, particularly in language learning.
Enos also emphasized the importance of reviewing AI-generated content before relying on it.
“My personal perspective is that we still need that human expertise to trust but verify the results that we’re getting and keep humans in the loop in terms of the reviews processes, just because there are hallucinations, and things that happen. So a very powerful tool that can be used in the workplace, in the marketplace, but still needs that human review and check to make sure that everything is accurate.”
Regulation Drives Responsible Innovation
While human oversight is crucial, some experts argue that ethical intentions alone are insufficient.
Julian Gage of Engage Compliance believes effective regulation is necessary to ensure organizations prioritize ethical AI practices.
“Ethics cost money, right? And if there’s no regulation requiring it, companies are not going to be incentivized to go after it, and so it’s going to come way, way too late in terms of years,” Gage said.
Although AI-specific legislation continues to evolve, Gage points out that existing privacy frameworks already establish important guardrails around data use. Organizations, he argues, must also be mindful of the tools they choose.
“If you’re not paying for a subscription, you’re probably going to be leaking all the information out to not only the AI provider, but all the other service providers that they’re probably utilizing to help give you the answer.”
Beyond compliance requirements, Gage believes proactive ethical planning can prevent reputational damage before it occurs.
“Companies that tend to do this early on — think about how we can ship ethically — are the ones that tend to have less issues later on. We saw with OpenAI, the backlash, people switching off the cloud as recently as three or four months ago.”
Viewing AI as a Collaborative Partner
As organizations work to establish safeguards, many are also redefining AI’s role in the workplace.
Pranav Bhatnagar, an AI security author and researcher at Google, views AI as a transformative technology that should function alongside humans rather than replace them.
“AI is going to not only change the world, but it’s going to change the way how the world thinks, works, and analyzes things,” Bhatnagar said.
At the same time, he encourages organizations to see AI as a collaborator that still requires human supervision.
“AI should be considered as a teammate, which can do all the work, but depends on how you do.”
For Bhatnagar, the ethical impact of AI ultimately comes down to human decision-making.
“It depends entirely on how people intend to use it. People should have good intentions and not destructive ones.”
Building Governance into Every Stage
This emphasis on human responsibility is echoed by Sree Sudha, Software Project Manager at ZF Group, who believes AI is changing roles rather than eliminating them.
“I see AI, I definitely see AI as helping humans, but not as a threat. It’s not pushing people away from the job. It’s just evolving,” she said.
Sudha argues that governance must extend throughout the entire project lifecycle. Without oversight, AI systems can absorb and reproduce harmful biases embedded in historical data.
“AI is learning the bias and discrimination — if somebody applies, it straightaway declines the women application. This is something we didn’t teach, but it’s learning on its own. That is where the project managers or any human interaction has to come into picture.”
To address those risks, Sudha advocates formal ethical governance structures that include accountability mechanisms and continuous monitoring.
“For good project governance to deliver a high valuable product, there should be ethical governance in place. There should be some ethical training, ethical metrics, ethical committee.”
Ethics as the Foundation of Sustainable AI
Balancing AI innovation with ethics is not a one-time decision but an ongoing process. Whether through human-led models, regulatory safeguards, responsible user intent, or structured governance frameworks, leaders are recognizing that AI’s greatest value lies in pairing innovation with accountability.
As AI becomes more deeply embedded in business operations, organizations that prioritize transparency, oversight, and human values are more likely to harness its benefits while maintaining public trust.
