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5 ways companies are incorporating AI ethics

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As more companies adopt generative artificial intelligence models, AI ethics is becoming increasingly important. Ethical guidelines to ensure the transparent, fair, and safe use of AI are evolving across industries, albeit slowly when compared to the fast-moving technology. 

But thorny questions about equity and ethics may force companies to tap the brakes on development if they want to maintain consumer trust and buy-in.   

KPMG’s 2024 Generative AI Consumer Trust Survey found that about half of consumers think there is not sufficient regulation of generative AI right now. The lack of oversight tracks with limited trust that institutions—particularly tech companies and the federal government—will ethically develop and implement AI, according to KPMG. 

Within the tech industry, ethical initiatives have been set back by a lack of resources and leadership support, according to an article presented at the 2023 ACM Conference on Fairness, Accountability, and Transparency. Layoffs at major corporations, including Amazon’s streaming platform Twitch, Microsoft, Google, and X, hit employees focused on ethical AI hard, leaving a vacuum.

While nearly 3 in 4 consumers say they trust organizations using GenAI in daily operations, confidence in AI varies between industries and functions. Just over half of consumers trust AI to deliver educational resources and personalized recommendations, compared to less than a third who trust it for investment advice and self-driving cars. Consumers are open to AI-driven restaurant recommendations, but not, it seems with their money or their life.    

Clear concerns persist around the broader use of a technology that has elevated scams and deepfakes to a new level. The KPMG survey found that the biggest consumer concerns are the spread of misinformation, fake news, and biased content, as well as the proliferation of more sophisticated phishing scams and cybersecurity breaches. As AI grows more sophisticated, these concerns are likely to be amplified as more people may potentially be negatively affected—making ethical frameworks for approaching AI all the more essential. 

That puts the onus to set ethical guardrails upon companies and lawmakers. In May 2024, Colorado became the first state to introduce legislation with provisions for consumer protection and accountability from companies and developers introducing AI systems used in education, financial services, and other critical, high-risk industries.

As other states evaluate similar legislation for consumer and employee protections, companies especially possess the in-the-weeds insight to address high-risk situations specific to their businesses. While consumers have set a high bar for companies’ responsible use of AI, the KPMG report also found that organizations can take concrete steps to garner and maintain public trust—education, clear communication and human oversight to catch errors, biases, or ethical concerns.

The reality is that the tension between proceeding cautiously to address ethical concerns and moving full speed ahead to capitalize on the competitive advantages of AI will continue to play out in the coming years. 

Drata analyzed current events to identify five ways companies are ethically incorporating artificial intelligence in the workplace. 



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Ethics & Policy

5 interesting stats to start your week

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Third of UK marketers have ‘dramatically’ changed AI approach since AI Act

More than a third (37%) of UK marketers say they have ‘dramatically’ changed their approach to AI, since the introduction of the European Union’s AI Act a year ago, according to research by SAP Emarsys.

Additionally, nearly half (44%) of UK marketers say their approach to AI is more ethical than it was this time last year, while 46% report a better understanding of AI ethics, and 48% claim full compliance with the AI Act, which is designed to ensure safe and transparent AI.

The act sets out a phased approach to regulating the technology, classifying models into risk categories and setting up legal, technological, and governance frameworks which will come into place over the next two years.

However, some marketers are sceptical about the legislation, with 28% raising concerns that the AI Act will lead to the end of innovation in marketing.

Source: SAP Emarsys

Shoppers more likely to trust user reviews than influencers

Nearly two-thirds (65%) of UK consumers say they have made a purchase based on online reviews or comments from fellow shoppers, as opposed to 58% who say they have made a purchase thanks to a social media endorsement.

Sports and leisure equipment (63%), decorative homewares (58%), luxury goods (56%), and cultural events (55%) are identified as product categories where consumers are most likely to find peer-to-peer information valuable.

Accurate product information was found to be a key factor in whether a review was positive or negative. Two-thirds (66%) of UK shoppers say that discrepancies between the product they receive and its description are a key reason for leaving negative reviews, whereas 40% of respondents say they have returned an item in the past year because the product details were inaccurate or misleading.

According to research by Akeeno, purchases driven by influencer activity have also declined since 2023, with 50% reporting having made a purchase based on influencer content in 2025 compared to 54% two years ago.

Source: Akeeno

77% of B2B marketing leaders say buyers still rely on their networks

When vetting what brands to work with, 77% of B2B marketing leaders say potential buyers still look at the company’s wider network as well as its own channels.

Given the amount of content professionals are faced with, they are more likely to rely on other professionals they already know and trust, according to research from LinkedIn.

More than two-fifths (43%) of B2B marketers globally say their network is still their primary source for advice at work, ahead of family and friends, search engines, and AI tools.

Additionally, younger professionals surveyed say they are still somewhat sceptical of AI, with three-quarters (75%) of 18- to 24-year-olds saying that even as AI becomes more advanced, there’s still no substitute for the intuition and insights they get from trusted colleagues.

Since professionals are more likely to trust content and advice from peers, marketers are now investing more in creators, employees, and subject matter experts to build trust. As a result, 80% of marketers say trusted creators are now essential to earning credibility with younger buyers.

Source: LinkedIn

Business confidence up 11 points but leaders remain concerned about economy

Business leader confidence has increased slightly from last month, having risen from -72 in July to -61 in August.

The IoD Directors’ Economic Confidence Index, which measures business leader optimism in prospects for the UK economy, is now back to where it was immediately after last year’s Budget.

This improvement comes from several factors, including the rise in investment intentions (up from -27 in July to -8 in August), the rise in headcount expectations from -23 to -4 over the same period, and the increase in revenue expectations from -8 to 12.

Additionally, business leaders’ confidence in their own organisations is also up, standing at 1 in August compared to -9 in July.

Several factors were identified as being of concern for business leaders; these include UK economic conditions at 76%, up from 67% in May, and both employment taxes (remaining at 59%) and business taxes (up to 47%, from 45%) continuing to be of significant concern.

Source: The Institute of Directors

Total volume of alcohol sold in retail down 2.3%

The total volume of alcohol sold in retail has fallen by 2.3% in the first half of 2025 compared to the previous year, equivalent to 90 million fewer litres. Value sales are also down by 1.1% compared to the same period in 2024.

At the same time, retail sales of non-alcoholic drinks have increased by 5.5% compared to last year, while volume sales are up by 2.3%, equivalent to a further 1.5 billion litres.

As the demand for non-alcoholic beverages grows, people increasingly expect these options to be available in their local bars and restaurants, with 55% of Brits and Europeans now expecting bars to always serve non-alcoholic beer.

As well as this, there are shifts happening within the alcoholic beverages category with value sales of no and low-alcohol spirits rising by 16.1%, and sales of ready-to-drink spirits growing by 11.6% compared to last year.

Source: Circana





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AI ethics under scrutiny, young people most exposed

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New reports into the rise of artificial intelligence (AI) showed incidents linked to ethical breaches have more than doubled in just two years.

At the same time, entry-level job opportunities have been shrinking, partly due to the spread of this automation.

AI is moving from the margins to the mainstream at extraordinary speed and both workplaces and universities are struggling to keep up.

Tools such as ChatGPT, Gemini and Claude are now being used to draft emails, analyse data, write code, mark essays and even decide who gets a job interview.

Alongside this rapid rollout, a March report from McKinsey, one by the OECD in July and an earlier Rand report warned of a sharp increase in ethical controversies — from cheating scandals in exams to biased recruitment systems and cybersecurity threats — leaving regulators and institutions scrambling to respond.

The McKinsey survey said almost eight in 10 organisations now used AI in at least one business function, up from half in 2022.

While adoption promises faster workflows and lower costs, many companies deploy AI without clear policies. Universities face similar struggles, with students increasingly relying on AI for assignments and exams while academic rules remain inconsistent, it said.

The OECD’s AI Incidents and Hazards Monitor reported that ethical and operational issues involving AI have more than doubled since 2022.

Common concerns included accountability — who is responsible when AI errs; transparency — whether users understand AI decisions; and fairness, whether AI discriminates against certain groups.

Many models operated as “black boxes”, producing results without explanation, making errors hard to detect and correct, it said.

In workplaces, AI is used to screen CVs, rank applicants, and monitor performance. Yet studies show AI trained on historical data can replicate biases, unintentionally favouring certain groups.

Rand reported that AI was also used to manipulate information, influence decisions in sensitive sectors, and conduct cyberattacks.

Meanwhile, 41 per cent of professionals report that AI-driven change is harming their mental health, with younger workers feeling most anxious about job security.

LinkedIn data showed that entry-level roles in the US have fallen by more than 35 per cent since 2023, while 63 per cent of executives expected AI to replace tasks currently done by junior staff.

Aneesh Raman, LinkedIn’s chief economic opportunity officer, described this as “a perfect storm” for new graduates: Hiring freezes, economic uncertainty and AI disruption, as the BBC reported August 26.

LinkedIn forecasts that 70 per cent of jobs will look very different by 2030.

Recent Stanford research confirmed that employment among early-career workers in AI-exposed roles has dropped 13 per cent since generative AI became widespread, while more experienced workers or less AI-exposed roles remained stable.

Companies are adjusting through layoffs rather than pay cuts, squeezing younger workers out, it found.

In Belgium, AI ethics and fairness debates have intensified following a scandal in Flanders’ medical entrance exams.

Investigators caught three candidates using ChatGPT during the test.

Separately, 19 students filed appeals, suspecting others may have used AI unfairly after unusually high pass rates: Some 2,608 of 5,544 participants passed but only 1,741 could enter medical school. The success rate jumped to 47 per cent from 18.9 per cent in 2024, raising concerns about fairness and potential AI misuse.

Flemish education minister Zuhal Demir condemned the incidents, saying students who used AI had “cheated themselves, the university and society”.

Exam commission chair Professor Jan Eggermont noted that the higher pass rate might also reflect easier questions, which were deliberately simplified after the previous year’s exam proved excessively difficult, as well as the record number of participants, rather than AI-assisted cheating alone.

French-speaking universities, in the other part of the country, were not concerned by this scandal, as they still conduct medical entrance exams entirely on paper, something Demir said he was considering going back to.



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Governing AI with inclusion: An Egyptian model for the Global South

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When artificial intelligence tools began spreading beyond technical circles and into the hands of everyday users, I saw a real opportunity to understand this profound transformation and harness AI’s potential to benefit Egypt as a state and its citizens. I also had questions: Is AI truly a national priority for Egypt? Do we need a legal framework to regulate it? Does it provide adequate protection for citizens? And is it safe enough for vulnerable groups like women and children?

These questions were not rhetorical. They were the drivers behind my decision to work on a legislative proposal for AI governance. My goal was to craft a national framework rooted in inclusion, dialogue, and development, one that does not simply follow global trends but actively shapes them to serve our society’s interests. The journey Egypt undertook can offer inspiration for other countries navigating the path toward fair and inclusive digital policies.

Egypt’s AI Development Journey

Over the past five years, Egypt has accelerated its commitment to AI as a pillar of its Egypt Vision 2030 for sustainable development. In May 2021, the government launched its first National AI Strategy, focusing on capacity building, integrating AI in the public sector, and fostering international collaboration. A National AI Council was established under the Ministry of Communications and Information Technology (MCIT) to oversee implementation. In January 2025, President Abdel Fattah El-Sisi unveiled the second National AI Strategy (2025–2030), which is built around six pillars: governance, technology, data, infrastructure, ecosystem development, and capacity building.

Since then, the MCIT has launched several initiatives, including training 100,000 young people through the “Our Future is Digital” programme, partnering with UNESCO to assess AI readiness, and integrating AI into health, education, and infrastructure projects. Today, Egypt hosts AI research centres, university departments, and partnerships with global tech companies—positioning itself as a regional innovation hub.

AI-led education reform

AI is not reserved for startups and hospitals. In May 2025, President El-Sisi instructed the government to consider introducing AI as a compulsory subject in pre-university education. In April 2025, I formally submitted a parliamentary request and another to the Deputy Prime Minister, suggesting that the government include AI education as part of a broader vision to prepare future generations, as outlined in Egypt’s initial AI strategy. The political leadership’s support for this proposal highlighted the value of synergy between decision-makers and civil society. The Ministries of Education and Communications are now exploring how to integrate AI concepts, ethics, and basic programming into school curricula.

From dialogue to legislation: My journey in AI policymaking

As Deputy Chair of the Foreign Affairs Committee in Parliament, I believe AI policymaking should not be confined to closed-door discussions. It must include all voices. In shaping Egypt’s AI policy, we brought together:

  • The private sector, from startups to multinationals, will contribute its views on regulations, data protection, and innovation.
  • Civil society – to emphasise ethical AI, algorithmic justice, and protection of vulnerable groups.
  • International organisations, such as the OECD, UNDP, and UNESCO, share global best practices and experiences.
  • Academic institutions – I co-hosted policy dialogues with the American University in Cairo and the American Chamber of Commerce (AmCham) to discuss governance standards and capacity development.

From recommendations to action: The government listening session

To transform dialogue into real policy, I formally requested the MCIT to host a listening session focused solely on the private sector. Over 70 companies and experts attended, sharing their recommendations directly with government officials.

This marked a key turning point, transitioning the initiative from a parliamentary effort into a participatory, cross-sectoral collaboration.

Drafting the law: Objectives, transparency, and risk-based classification

Based on these consultations, participants developed a legislative proposal grounded in transparency, fairness, and inclusivity. The proposed law includes the following core objectives:

  • Support education and scientific research in the field of artificial intelligence
  • Provide specific protection for individuals and groups most vulnerable to the potential risks of AI technologies
  • Govern AI systems in alignment with Egypt’s international commitments and national legal framework
  • Enhance Egypt’s position as a regional and international hub for AI innovation, in partnership with development institutions
  • Support and encourage private sector investment in the field of AI, especially for startups and small enterprises
  • Promote Egypt’s transition to a digital economy powered by advanced technologies and AI

To operationalise these objectives, the bill includes:

  • Clear definitions of AI systems
  • Data protection measures aligned with Egypt’s 2020 Personal Data Protection Law
  • Mandatory algorithmic fairness, transparency, and auditability
  • Incentives for innovation, such as AI incubators and R&D centres

Establishment of ethics committees and training programmes for public sector staff

The draft law also introduces a risk-based classification framework, aligning it with global best practices, which categorises AI systems into three tiers:

1. Prohibited AI systems – These are banned outright due to unacceptable risks, including harm to safety, rights, or public order.

2. High-risk AI systems – These require prior approval, detailed documentation, transparency, and ongoing regulatory oversight. Common examples include AI used in healthcare, law enforcement, critical infrastructure, and education.

3. Limited-risk AI systems – These are permitted with minimal safeguards, such as user transparency, labelling of AI-generated content, and optional user consent. Examples include recommendation engines and chatbots.

This classification system ensures proportionality in regulation, protecting the public interest without stifling innovation.

Global recognition: The IPU applauds Egypt’s model

The Inter-Parliamentary Union (IPU), representing over 179 national parliaments, praised Egypt’s AI bill as a model for inclusive AI governance. It highlighted that involving all stakeholders builds public trust in digital policy and reinforces the legitimacy of technology laws.

Key lessons learned

  • Inclusion builds trust – Multistakeholder participation leads to more practical and sustainable policies.
  • Political will matters – President El-Sisi’s support elevated AI from a tech topic to a national priority.
  • Laws evolve through experience – Our draft legislation is designed to be updated as the field develops.
  • Education is the ultimate infrastructure – Bridging the future digital divide begins in the classroom.
  • Ethics come first – From the outset, we established values that focus on fairness, transparency, and non-discrimination.

Challenges ahead

As the draft bill progresses into final legislation and implementation, several challenges lie ahead:

  • Training regulators on AI fundamentals
  • Equipping public institutions to adopt ethical AI
  • Reducing the urban-rural digital divide
  • Ensuring national sovereignty over data
  • Enhancing Egypt’s global role as a policymaker—not just a policy recipient

Ensuring representation in AI policy

As a female legislator leading this effort, it was important for me to prioritise the representation of women, youth, and marginalised groups in technology policymaking. If AI is built on biased data, it reproduces those biases. That’s why the policymaking table must be round, diverse, and representative.

A vision for the region

I look forward to seeing Egypt:

  • Advance regional AI policy partnerships across the Middle East and Africa
  • Embedd AI ethics in all levels of education
  • Invest in AI for the public good

Because AI should serve people—not control them.

Better laws for a better future

This journey taught me that governing AI requires courage to legislate before all the answers are known—and humility to listen to every voice. Egypt’s experience isn’t just about technology; it’s about building trust and shared ownership. And perhaps that’s the most important infrastructure of all.

The post Governing AI with inclusion: An Egyptian model for the Global South appeared first on OECD.AI.



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