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5 Dangerous Myths About AI Ethics You Shouldn’t Believe

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AI can empower just about any business to innovate and drive efficiency, but it also has the potential to do damage and cause harm. This means that everyone putting it to use needs to understand the ethical frameworks in place to keep everyone safe.

At the end of the day, AI is a tool. AI ethics can be thought of as the safety warning you get in big letters at the front of any user manual, setting out some firm dos and don’ts about using it.

Using AI almost always involves making ethical choices. In a business setting, understanding the many ways it can affect people and culture means we have the best information for making those choices.

It’s a subject there’s still a lot of confusion around, not least involving who is responsible and who should be ensuring this gets done. So here are five common misconceptions I come across involving the ethics of generative AI and machine learning.

1. AI Is Not Neutral

It’s easy to think of machines as entirely calculating, impartial and emotionless in their decision-making. Unfortunately, that’s very likely not the case. Machine learning is always a product of the data it’s trained on, and in many cases, that means data created by humans. It’s quite possible it will contain many human prejudices, conjectures and uneducated opinions, and this is where the problem of AI bias springs from. Understanding how bias passes from humans to machines is key to building tools and algorithms that will reduce the chance of causing harm or worsening societal inequalities.

2. AI Ethics Will Be Driven By Geopolitics

America has been the global leader in AI research, development and commercialization for a long time, but the facts show that China is catching up fast. Today, China’s universities are turning out more graduates and PhDs in AI fields, and AI tools developed by Chinese businesses are closing the performance gap versus U.S. competitors. The risk (more of a certainty) is that players in this high-stakes political game start to think about where ethics should be sacrificed for efficiency.

For example, openness and transparency are ethical goals for AI, as transparent AI helps us understand its decisions and make sure its actions are safe. However, the need to keep secrets that confer a competitive advantage could affect decisions and attitudes about exactly how transparent AI should be. China is known to have relied heavily on the open-source work of U.S. companies to build its own AI models and algorithms. Should the U.S. decide to act here to try to preserve its lead, it could have implications for how open and transparent AI development will be in the coming years.

3. AI Ethics Are Everyone’s Responsibility

When it comes to AI, it’s important not to assume there’s a centralized authority that will spot when things aren’t being done properly and ride to the rescue. Legislators will inevitably struggle to keep up with the pace of development, and most companies are lagging when it comes to establishing their own rules, regulations and best practices.

It’s hard to predict the ways that AI will change society, and inevitably, some of those will cause harm, so it’s important that everyone understands the shared responsibility to be vigilant. This means encouraging free-flowing channels of conversation around the impact and ensuring that transparency and ethical whistleblowing are encouraged. Because it will affect everyone, everyone should feel they have a voice in the debate around standards and what is and isn’t ethically acceptable.

4. Ethics Must Be Built Into AI, Not Bolted On

Ethical AI is not a “nice-to-have,” and it isn’t an item to be checked off a list just before a project goes live. At that point, any uncertainty around flaws such as biased data, the potential to breach privacy or safety assessments will be baked in. Our approach to ethical AI must be proactive rather than reactive, which means assessing every step for the potential to cause harm or ethical breaches at the planning stage. Safeguards should be included in strategic planning and project management to minimize any chances that data bias, lack of transparency, or privacy breaches will lead to ethical failures.

5. Trust Is Paramount

Ok, so the final and very important thing to remember is that we don’t just do ethical AI because it gives us a warm, fuzzy feeling inside. It’s because it’s absolutely critical to using AI to its true potential.

This is largely due to one word, which is trust. If people see that AI is making biased decisions, or that it’s being used without accountability, they simply won’t trust it. Without trust in AI, people are unlikely to share the data it relies on or adopt it in practice.

Overall, the level of trust that society puts in AI is what will eventually determine whether it achieves its potential of helping us solve big, difficult problems like tackling climate change or inequality. Ethical AI is about building trust and making sure we don’t scupper its hugely positive potential before we can put it to work.





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Ethics & Policy

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

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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

Lavender’s Role in Targeting Civilians in Gaza

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The world today is war-torn, starting with Russia’s attacks on Ukraine to Israel’s devastation in Palestine and now in Iran, putting the entire West Asia in jeopardy.

The geometrics of war has completely changed, from Blitzkrieg (lightning war) in World War II to the use of sophisticated and technologically driven missiles in these latest armed conflicts. The most recent wars are being driven by use of artificial intelligence (AI) to narrow down potential targets.

There have been multiple evidences which indicate that Israeli forces have deployed novel AI-driven targeting tools in Gaza. One system, nicknamed “Lavender” is an AI-enabled database that assigns risk scores to Gazans based on patterns in their personal data (communication, social connections) to identify “suspected Hamas or Islamic Jihad operatives”. Lavender has flagged up to 37,000 Palestinians as potential targets early in the war.

A second system, “Where is Daddy?”, uses mobile phone location tracking to notify operators when a marked individual is at home. The initial strikes using these automated generated systems targeted individuals in their private homes on the pretext of targeting the terrorists. But innocent women and young children also lost their lives in these attacks. This technology was developed as a replacement of human acumen and strategy to identify and target the suspects.

According to the Humans Rights Watch report (2024), around 70 per cent of people who have lost lives were women and children. The United Nations agency has also verified the details of 8,119 victims killed in Gaza from November 2023 to April 2024. The report showed that 44 per cent of the victims were children and 26 per cent were women. The humans are merely at the mercy of this sophisticated technology that identified the suspected militants and targeted them.

The use of AI-based tools like “Lavender” and “Where’s Daddy?” by Israel in its war against Palestine raises serious questions about the commitment of countries to the international legal framework and the ethics of war. Use of such sophisticated AI targeted tools puts the weaker nations at the dictate of the powerful nations who can use these technologies to inflict suffering for the non-combatants.

The international humanitarian law (IHL) and international human rights law (IHRL) play a critical yet complex role in the context of AI during conflict situations such as the Israel-Palestine Conflict. Such AI-based warfare violates the international legal framework principles of distinction, proportionality and precaution.

The AI systems do not inherently know who is a combatant. Investigations report that Lavender had an error rate on the order of 10 per cent and routinely flagged non-combatants (police, aid workers, people who merely shared a name with militants). The reported practice of pre-authorising dozens of civilian deaths per strike grossly violates the proportionality rule.

An attack is illegal if incidental civilian loss is “excessive” in relation to military gain. For example, one source noted that each kill-list target came with an allowed “collateral damage degree” (often 15–20) regardless of the specific context. Allowing such broad civilian loss per target contradicts IHL’s core balancing test (ICRC Rule 14).

The AI-driven process has eliminated normal safeguards (verification, warnings, retargeting). IHRL continues to apply alongside IHL in armed conflict contexts. In particular, the right to life (ICCPR Article 6) obliges states to prevent arbitrary killing.

The International Court of Justice has held that while the right to life remains in force during war, an “arbitrary deprivation of life” must be assessed by reference to the laws of war. In practice, this means that IHL’s rules become the benchmark for whether killings are lawful.

However, even accepting lex specialis (law overriding general law), the reported AI strikes raise grave human rights concerns especially the Right to Life (ICCPR Art. 6) and Right to Privacy (ICCPR Art. 17).

Ethics of war, called ‘jus in bello’ in the legal parlance, based on the principles of proportionality (anticipated moral cost of war) and differentiation (between combatants and non-combatants) has also been violated. Article 51(5) of Additional Protocol I of the 1977 Geneva Convention said that “an attack is disproportionate, and thus indiscriminate, if it may be expected to cause incidental loss of civilian life, injury to civilians, damage to civilian objects, or a combination thereof, which would be excessive in relation to the concrete and military advantage”.

The Israel Defense Forces have been indiscriminately using AI to target potential targets. These targets though aimed at targeting militants have been extended to the non-military targets also, thus causing casualties to the civilians and non-combatants. Methods used in a war is like a trigger which once warded off is extremely difficult to retract and reconcile. Such unethical action creates more fault lines and any alternate attempt at peace resolution and mediation becomes extremely difficult.

The documented features of systems like Lavender and Where’s Daddy, based on automated kill lists, minimal human oversight, fixed civilian casualty “quotas” and use of imprecise munitions against suspects in homes — appear to contravene the legal and ethical principles.

Unless rigorously constrained, such tools risk turning warfare into arbitrary slaughter of civilians, undermining the core humanitarian goals of IHL and ethics of war. Therefore, it is extremely important to streamline the unregulated use of AI in perpetuating war crimes as it undermines the legal and ethical considerations of humanity at large.



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