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Why Every Entrepreneur Must Prioritize Ethical AI — Now

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Opinions expressed by Entrepreneur contributors are their own.

It’s not a secret to the world that artificial intelligence is here, and it’s no longer just a buzzword — it’s quickly becoming a fundamental force that’s reshaping thought processes and actual landscapes for entrepreneurs everywhere. Whether streamlining operations, enhancing customer experiences, unlocking innovation within the workforce or just dabbling and playing around with what AI can do, it is occurring at an unprecedented scale today.

The technology presents boundless opportunities and exponential value … once tamed. However, with all of this innovation, opportunity and great potential comes even more responsibility. As we rapidly accelerate the adoption of AI, many, many entrepreneurs are facing significant, urgent questions revolving around the ethics, fairness and responsibility of such technology.

Countless entrepreneurs are now asking themselves, “How can I harness the power of AI without losing sight of the ethical principles?” How can early-stage startups today continue to grow quickly while ensuring they’re also thinking of responsible, socially conscious decisions? With every new technology, the ethical repercussions are always a part of the decision to adopt. They’re not theoretical; they’re very practical, critical if missed, as today, customers, investors and regulators are increasingly focusing on how startups are answering this very important question.

Related: 4 Steps Entrepreneurs Can Take to Ensure AI Is Being Used Ethically Within Their Companies

Do you understand ethical AI and what it means today?

If you’re thinking ethical AI is simply just a matter of avoiding harm, you’d be a ways away from fully understanding the overall concept. Ethical AI isn’t simply avoiding harm; it’s facing it head-on and understanding what to do in the moment. It’s actively ensuring that AI systems are fair, transparent and accountable as they can be from development into the hands of consumers. Today, there’s too much ambiguity and uncertainty within systems, whereas consumers and stakeholders of the organization expect it to align with the values of fairness, inclusivity and transparency, especially in the face of utilizing AI.

In a 2023 study, Deloitte revealed that a majority of consumers would stop buying from companies found using AI irresponsibly or unethically. Today, ethical AI is imperative, and embracing it doesn’t just minimize risks for entrepreneurs; it could potentially enhance brand value and customer trust over others.

Quick check:

  1. Does your AI application being developed respect the privacy of users and adhere to the transparency standards of your respective country or location?

  2. Are you clearly communicating with customers and internal employees on how your AI makes decisions?

Fairness and bias: It isn’t subsiding — it’s a growing concern

When it comes to bias within a system, many think of different things and different outcomes. When algorithmic biases are prevalent, AI systems unintentionally introduce and reinforce existing societal biases. This is quickly becoming one of the biggest ethical concerns of the AI industry as it continues to grow. Many biases are completely hidden, and you would never know you’ve been introduced to them. Many times, these biases often appear extremely subtle, such as within hiring algorithms that feed ATS systems, financial approvals within banks and personalized marketing programs.

MIT’s Media Lab is no stranger to AI. Research from the institute highlights instances where biased AI has negatively impacted hiring, explicitly disproportionately excluding women and minorities within qualified job applications. This is crucial to identify and recognize early on within AI applications. A company that proactively audits their AI algorithms being developed for fairness, unbiased results and analysis not only helps mitigate such risks but also positions your organization as a responsible and forward-thinking trusted party.

Related: Avoid AI Disasters and Earn Trust — 8 Strategies for Ethical and Responsible AI

Transparency builds trust

In today’s AI marketplace, transparency isn’t optional — it’s essential to ensure consumers of your products know how decisions that could affect their lives are being made. Regulators worldwide are increasingly identifying ways to require businesses to disclose AI processes in a clear and understandable way. Whether these regulations stay around or not, the concept of regulating this new emerging technology was still there.

You must look at transparency as building credibility and trust, two increasingly important aspects for brand reputation. You don’t need to go far to see a major player within the AI game promoting just this concept. OpenAI CEO Sam Altman underscores the importance by saying, “AI must be understandable to earn trust; transparency isn’t a burden — it’s a strategic advantage.”

Privacy and data responsibility

We’re in the age of Big Data, and it’s data that fuels AI like wildfire — but mishandled and inaccurate data can turn AI into a quick reputational disaster. Entrepreneurs must be ethical when obtaining data. They must balance company and product innovation with a rigorous effort on privacy protections, ensuring the security of personal data within frameworks such as GDPR and CCPA.

Apple has one of the most stringent proactive privacy stances within the industry, highlighting a competitive advantage: a 2022 Consumer Reports study found that 82% of customers prefer brands that actively protect their data privacy. Prioritizing consumer privacy, whether a customer or not, isn’t just responsible — it’s good business practice.

Taking a stand for ethical AI: Your entrepreneurial imperative

Ultimately, emerging technologies with such potential as AI inherently come paired with significant responsibilities for those developing such technology. Entrepreneurs with ideas that thrive within the age of AI won’t simply be those who utilize the most advanced systems but instead those who fully and completely understand the inherent risks and ethical implications that come with it.

Related: What Will It Take to Build a Truly Ethical AI? These 3 Tips Can Help.

The call to action here is clear: For those creating and developing such technologies, proactively embedding ethical standards into your AI strategies now will go a long way, safeguarding not only your customers but also your business continuity, reputation and future growth.

If you take one thing away here, it is to remember that ethical AI isn’t about avoiding the problems that will present themselves; it’s about seizing opportunities. The ethical image and leadership that you portray can define your brand, differentiate you from your competitors and position your startup as one of the premier AI companies seeking to succeed responsibly and sustainably in the ever-fast-changing world.

It’s not a secret to the world that artificial intelligence is here, and it’s no longer just a buzzword — it’s quickly becoming a fundamental force that’s reshaping thought processes and actual landscapes for entrepreneurs everywhere. Whether streamlining operations, enhancing customer experiences, unlocking innovation within the workforce or just dabbling and playing around with what AI can do, it is occurring at an unprecedented scale today.

The technology presents boundless opportunities and exponential value … once tamed. However, with all of this innovation, opportunity and great potential comes even more responsibility. As we rapidly accelerate the adoption of AI, many, many entrepreneurs are facing significant, urgent questions revolving around the ethics, fairness and responsibility of such technology.

Countless entrepreneurs are now asking themselves, “How can I harness the power of AI without losing sight of the ethical principles?” How can early-stage startups today continue to grow quickly while ensuring they’re also thinking of responsible, socially conscious decisions? With every new technology, the ethical repercussions are always a part of the decision to adopt. They’re not theoretical; they’re very practical, critical if missed, as today, customers, investors and regulators are increasingly focusing on how startups are answering this very important question.

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Ethics & Policy

AI and ethics – what is originality? Maybe we’re just not that special when it comes to creativity?

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I don’t trust AI, but I use it all the time.

Let’s face it, that’s a sentiment that many of us can buy into if we’re honest about it. It comes from Paul Mallaghan, Head of Creative Strategy at We Are Tilt, a creative transformation content and campaign agency whose clients include the likes of Diageo, KPMG and Barclays.

Taking part in a panel debate on AI ethics at the recent Evolve conference in Brighton, UK, he made another highly pertinent point when he said of people in general:

We know that we are quite susceptible to confident bullshitters. Basically, that is what Chat GPT [is] right now. There’s something reminds me of the illusory truth effect, where if you hear something a few times, or you say it here it said confidently, then you are much more likely to believe it, regardless of the source. I might refer to a certain President who uses that technique fairly regularly, but I think we’re so susceptible to that that we are quite vulnerable.

And, yes, it’s you he’s talking about:

I mean all of us, no matter how intelligent we think we are or how smart over the machines we think we are. When I think about trust, – and I’m coming at this very much from the perspective of someone who runs a creative agency – we’re not involved in building a Large Language Model (LLM); we’re involved in using it, understanding it, and thinking about what the implications if we get this wrong. What does it mean to be creative in the world of LLMs?

Genuine

Being genuine, is vital, he argues, and being human – where does Human Intelligence come into the picture, particularly in relation to creativity. His argument:

There’s a certain parasitic quality to what’s being created. We make films, we’re designers, we’re creators, we’re all those sort of things in the company that I run. We have had to just face the fact that we’re using tools that have hoovered up the work of others and then regenerate it and spit it out. There is an ethical dilemma that we face every day when we use those tools.

His firm has come to the conclusion that it has to be responsible for imposing its own guidelines here  to some degree, because there’s not a lot happening elsewhere:

To some extent, we are always ahead of regulation, because the nature of being creative is that you’re always going to be experimenting and trying things, and you want to see what the next big thing is. It’s actually very exciting. So that’s all cool, but we’ve realized that if we want to try and do this ethically, we have to establish some of our own ground rules, even if they’re really basic. Like, let’s try and not prompt with the name of an illustrator that we know, because that’s stealing their intellectual property, or the labor of their creative brains.

I’m not a regulatory expert by any means, but I can say that a lot of the clients we work with, to be fair to them, are also trying to get ahead of where I think we are probably at government level, and they’re creating their own frameworks, their own trust frameworks, to try and address some of these things. Everyone is starting to ask questions, and you don’t want to be the person that’s accidentally created a system where everything is then suable because of what you’ve made or what you’ve generated.

Originality

That’s not necessarily an easy ask, of course. What, for example, do we mean by originality? Mallaghan suggests:

Anyone who’s ever tried to create anything knows you’re trying to break patterns. You’re trying to find or re-mix or mash up something that hasn’t happened before. To some extent, that is a good thing that really we’re talking about pattern matching tools. So generally speaking, it’s used in every part of the creative process now. Most agencies, certainly the big ones, certainly anyone that’s working on a lot of marketing stuff, they’re using it to try and drive efficiencies and get incredible margins. They’re going to be on the race to the bottom.

But originality is hard to quantify. I think that actually it doesn’t happen as much as people think anyway, that originality. When you look at ChatGPT or any of these tools, there’s a lot of interesting new tools that are out there that purport to help you in the quest to come up with ideas, and they can be useful. Quite often, we’ll use them to sift out the crappy ideas, because if ChatGPT or an AI tool can come up with it, it’s probably something that’s happened before, something you probably don’t want to use.

More Human Intelligence is needed, it seems:

What I think any creative needs to understand now is you’re going to have to be extremely interesting, and you’re going to have to push even more humanity into what you do, or you’re going to be easily replaced by these tools that probably shouldn’t be doing all the fun stuff that we want to do. [In terms of ethical questions] there’s a bunch, including the copyright thing, but there’s partly just [questions] around purpose and fun. Like, why do we even do this stuff? Why do we do it? There’s a whole industry that exists for people with wonderful brains, and there’s lots of different types of industries [where you] see different types of brains. But why are we trying to do away with something that allows people to get up in the morning and have a reason to live? That is a big question.

My second ethical thing is, what do we do with the next generation who don’t learn craft and quality, and they don’t go through the same hurdles? They may find ways to use {AI] in ways that we can’t imagine, because that’s what young people do, and I have  faith in that. But I also think, how are you going to learn the language that helps you interface with, say, a video model, and know what a camera does, and how to ask for the right things, how to tell a story, and what’s right? All that is an ethical issue, like we might be taking that away from an entire generation.

And there’s one last ‘tough love’ question to be posed:

What if we’re not special?  Basically, what if all the patterns that are part of us aren’t that special? The only reason I bring that up is that I think that in every career, you associate your identity with what you do. Maybe we shouldn’t, maybe that’s a bad thing, but I know that creatives really associate with what they do. Their identity is tied up in what it is that they actually do, whether they’re an illustrator or whatever. It is a proper existential crisis to look at it and go, ‘Oh, the thing that I thought was special can be regurgitated pretty easily’…It’s a terrifying thing to stare into the Gorgon and look back at it and think,’Where are we going with this?’. By the way, I do think we’re special, but maybe we’re not as special as we think we are. A lot of these patterns can be matched.

My take

This was a candid worldview  that raised a number of tough questions – and questions are often so much more interesting than answers, aren’t they? The subject of creativity and copyright has been handled at length on diginomica by Chris Middleton and I think Mallaghan’s comments pretty much chime with most of that.

I was particularly taken by the point about the impact on the younger generation of having at their fingertips AI tools that can ‘do everything, until they can’t’. I recall being horrified a good few years ago when doing a shift in a newsroom of a major tech title and noticing that the flow of copy had suddenly dried up. ‘Where are the stories?’,  I shouted. Back came the reply, ‘Oh, the Internet’s gone down’.  ‘Then pick up the phone and call people, find some stories,’ I snapped. A sad, baffled young face looked back at me and asked, ‘Who should we call?’. Now apart from suddenly feeling about 103, I was shaken by the fact that as soon as the umbilical cord of the Internet was cut, everyone was rendered helpless. 

Take that idea and multiply it a billion-fold when it comes to AI dependency and the future looks scary. Human Intelligence matters



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Experts gather to discuss ethics, AI and the future of publishing

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Representatives of the founding members sign the memorandum of cooperation at the launch of the Association for International Publishing Education during the 3rd International Conference on Publishing Education in Beijing.CHINA DAILY

Publishing stands at a pivotal juncture, said Jeremy North, president of Global Book Business at Taylor & Francis Group, addressing delegates at the 3rd International Conference on Publishing Education in Beijing. Digital intelligence is fundamentally transforming the sector — and this revolution will inevitably create “AI winners and losers”.

True winners, he argued, will be those who embrace AI not as a replacement for human insight but as a tool that strengthens publishing’s core mission: connecting people through knowledge. The key is balance, North said, using AI to enhance creativity without diminishing human judgment or critical thinking.

This vision set the tone for the event where the Association for International Publishing Education was officially launched — the world’s first global alliance dedicated to advancing publishing education through international collaboration.

Unveiled at the conference cohosted by the Beijing Institute of Graphic Communication and the Publishers Association of China, the AIPE brings together nearly 50 member organizations with a mission to foster joint research, training, and innovation in publishing education.

Tian Zhongli, president of BIGC, stressed the need to anchor publishing education in ethics and humanistic values and reaffirmed BIGC’s commitment to building a global talent platform through AIPE.

BIGC will deepen academic-industry collaboration through AIPE to provide a premium platform for nurturing high-level, holistic, and internationally competent publishing talent, he added.

Zhang Xin, secretary of the CPC Committee at BIGC, emphasized that AIPE is expected to help globalize Chinese publishing scholarships, contribute new ideas to the industry, and cultivate a new generation of publishing professionals for the digital era.

Themed “Mutual Learning and Cooperation: New Ecology of International Publishing Education in the Digital Intelligence Era”, the conference also tackled a wide range of challenges and opportunities brought on by AI — from ethical concerns and content ownership to protecting human creativity and rethinking publishing values in higher education.

Wu Shulin, president of the Publishers Association of China, cautioned that while AI brings major opportunities, “we must not overlook the ethical and security problems it introduces”.

Catriona Stevenson, deputy CEO of the UK Publishers Association, echoed this sentiment. She highlighted how British publishers are adopting AI to amplify human creativity and productivity, while calling for global cooperation to protect intellectual property and combat AI tool infringement.

The conference aims to explore innovative pathways for the publishing industry and education reform, discuss emerging technological trends, advance higher education philosophies and talent development models, promote global academic exchange and collaboration, and empower knowledge production and dissemination through publishing education in the digital intelligence era.

 

 

 



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Ethics & Policy

Experts gather to discuss ethics, AI and the future of publishing

Published

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Representatives of the founding members sign the memorandum of cooperation at the launch of the Association for International Publishing Education during the 3rd International Conference on Publishing Education in Beijing.CHINA DAILY

Publishing stands at a pivotal juncture, said Jeremy North, president of Global Book Business at Taylor & Francis Group, addressing delegates at the 3rd International Conference on Publishing Education in Beijing. Digital intelligence is fundamentally transforming the sector — and this revolution will inevitably create “AI winners and losers”.

True winners, he argued, will be those who embrace AI not as a replacement for human insight but as a tool that strengthens publishing”s core mission: connecting people through knowledge. The key is balance, North said, using AI to enhance creativity without diminishing human judgment or critical thinking.

This vision set the tone for the event where the Association for International Publishing Education was officially launched — the world’s first global alliance dedicated to advancing publishing education through international collaboration.

Unveiled at the conference cohosted by the Beijing Institute of Graphic Communication and the Publishers Association of China, the AIPE brings together nearly 50 member organizations with a mission to foster joint research, training, and innovation in publishing education.

Tian Zhongli, president of BIGC, stressed the need to anchor publishing education in ethics and humanistic values and reaffirmed BIGC’s commitment to building a global talent platform through AIPE.

BIGC will deepen academic-industry collaboration through AIPE to provide a premium platform for nurturing high-level, holistic, and internationally competent publishing talent, he added.

Zhang Xin, secretary of the CPC Committee at BIGC, emphasized that AIPE is expected to help globalize Chinese publishing scholarships, contribute new ideas to the industry, and cultivate a new generation of publishing professionals for the digital era.

Themed “Mutual Learning and Cooperation: New Ecology of International Publishing Education in the Digital Intelligence Era”, the conference also tackled a wide range of challenges and opportunities brought on by AI — from ethical concerns and content ownership to protecting human creativity and rethinking publishing values in higher education.

Wu Shulin, president of the Publishers Association of China, cautioned that while AI brings major opportunities, “we must not overlook the ethical and security problems it introduces”.

Catriona Stevenson, deputy CEO of the UK Publishers Association, echoed this sentiment. She highlighted how British publishers are adopting AI to amplify human creativity and productivity, while calling for global cooperation to protect intellectual property and combat AI tool infringement.

The conference aims to explore innovative pathways for the publishing industry and education reform, discuss emerging technological trends, advance higher education philosophies and talent development models, promote global academic exchange and collaboration, and empower knowledge production and dissemination through publishing education in the digital intelligence era.

 

 

 



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