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Speaker: When using AI, keep ethics in mind

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Regardless of how a firm ultimately implements artificial intelligence, Kim Petro, a practice advancement coach from Woodard, stressed the importance of doing so ethically. While AI has opened up a whole new world of possibilities, not all of them are necessarily positive, and so it is important to be mindful of the consequences of using AI solutions. 

She pointed to biased hiring algorithms that disadvantage certain people without the developers even realizing it, “so if someone turns in a resume with the wrong name and the algorithm is scrubbing that for appropriateness to the job, it can completely disregard it when it really should not be, there could be discrimination.” 

She said there is also evidence people are using AI to create financial advice without disclosing that it came from AI, which “oh my god is so dangerous, the liability we bring on ourselves by giving bad advice and not disclosing where we got it.”

AI ethics or AI law concept. Businessman with ai ethics icon on virtual screen for compliance, regulation, standard , business policy and responsibility.

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Students, it is well known, are also using AI to cheat on their school work, she said. Meanwhile, she added, there are bots trolling social media for purposes ranging from ridiculous to nefarious. 

During her own talk at Scaling New Heights in Orlando, Petro outlined some key considerations to avoid some of the less ethical applications of AI. 

For one, people should be transparent about their AI use, making sure to always disclose when they use it; Petro herself disclosed she used AI for research and building course content, so “I need to tell people it’s not my own content, it’s scrubbing the Internet and grabbing bits and pieces from other things. I also need to use my own voice when using this content.” 

Ethical users also make sure they verify what their AI tells them, noting the propensity of certain language models to make things up wholesale. They should also be aware that not only can the model can wrong, it can also have bias, such as in the aforementioned case of the hiring algorithm. 

She also said users overall should try to respect intellectual property; she pointed to an example where board game designers were using AI to make art instead of hiring artists, but the artists the model drew from did not get proper attribution. 

Finally, she said that people need to be aware of the privacy and security risk of using AI, especially public models, especially free accounts on public models. This is because inputs can go right into the company’s servers, including any personal or financial information that generally needs to be kept private.

“We don’t want our confidential or sensitive information in there because if you use a free account it informed the generative model for everyone. Not good. Even if you use it just for financials, we highly recommend using a paid account so it is not informing the model,” she said. 

While many use AI to draft reports for clients, she said that if there is a risk the information will wind up with an unauthorized third party they should scrub all the identifying details from the prompt before entering it into the model, and then replace the information in the actual report itself. 

Other ethical AI uses she suggested include brainstorming, “not content replacement but to help us do the research,” as well as approved image generation for marketing purposes using appropriately licensed artwork, such as “you have a great logo and want to make a banner for LinkedIn.”

Professionally, there is also internal process generation and automation, basically “we can have ChatGPT write me a process for automating monthly close or bank recs, it doesn’t matter as long as we use it internally and, again, has human review. I cannot stress that enough.” 

The specific issues that a firm might face regarding AI ethics can vary greatly, and so she also stressed the importance of creating best practices and acceptable use policies, such as making sure a human reviews everything, only using tools that create audit trails, or assigning permissions with user roles. 

Overall, she said users should remember to: 

  • “Ask yourself, am I representing this content as my own? If you are, may God strike you down. Well, just kidding. But maybe think about it and really write that this was not your work, it was someone else’s.” 
  • “Could this harm instead of help? If I’m a board game designer, say I’ll save some money and use AI to create this graphic design. I won’t pay an artist to do that. So I scrub the Internet using AI and pull from different artists and it’s blatantly obvious and… [the artist] has nothing to protect their work.” 
  • “Would I be comfortable explaining how I use this to my client? You may have clients who’re not tech savvy and you tell them you put something in AI and they say ‘you put all my information to all robots everywhere!’ They freak out. Would they be okay with you using AI? Are you telling them upfront you use AI but, hey, we won’t have your personal information out there, are you okay with that?”
  • “Normalize conversations around ethical technology use. This is a bnig thing, especially with policies and enforcing them. AI is changing every day, evolving fast, so fast that we have to keep up with the conversations and learning and make sure we stay on top of it.”  
  • “Above all, lead with integrity and curiosity.”



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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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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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