#AI ethical framework

[ponder-us]

Humanity hanging in the balance

JB: Hi Gemini, I just read an article from BBC Wildlife titled, “What would happen to the Earth if humans went extinct? Here’s what scientists think.” In it, author Debbie Graham laments that “human activity is causing a huge fall in biodiversity — species are dying out an an estimated 1000 times faster than the natural background rate.” But she asserts in her summary that despite taking a while…

[neosciencehub]

India's AI Healthcare Revolution: A National Endeavour @neosciencehub #AI #Healthcare #India #NITIAayog #neosciencehub

[leonbasinwriter]

Architecting the Marketplace of Minds: Future Insights

By @leonbasinwriter | Architect of Futures | www.basinleon.com Prologue “In the void between circuits and stars, the builders whispered of futures yet to bloom.” The Architect speaks to the unseen builders: “We have laid the stones. We have etched the designs. But now, a question lingers in the digital ether: what is it we are truly building?” I. The Engine Awakens In the first etching—The…

[jcmarchi]

How to Realize Value from a GenAI-Enabled Workforce

New Post has been published on https://thedigitalinsider.com/how-to-realize-value-from-a-genai-enabled-workforce/

How to Realize Value from a GenAI-Enabled Workforce

Thanks to OpenAI’s ChatGPT, pretty much everyone knows about GenAI today. Its ability to satisfy people’s thirst for knowledge with just a simple prompt sent it viral. This tool’s usage is truly impressive. It gained a million users in just five days and attracted more than 100 million visitors in its first few months. Individuals and organizations are integrating it into their daily lives and activities with great enthusiasm.

And yet – while GenAI is globally famous, few have moved far beyond experimentation. Organizations are excited by its potential but often struggle to adopt it at a scale that can ultimately create measurable value.

In my role, I’ve been fortunate enough to be able to witness how AI is evolving the way organizations operate and the value it can deliver to customers. Yet, businesses need a guide to turn potential into performance. With these challenges in mind, my team implemented a roll out experimentation with Microsoft’s 350 Copilot, to develop valuable insights and practical strategies for companies aiming to achieve successful adoption and meaningful ROI.

Our path to GenAI value

As we looked into adopting Copilot, our approach helped us identify where its capabilities could add value.

Our experience could be helpful for any organization looking to introduce GenAI into its workflows.

Here are some of the actions that helped us along the way:

Start with a structured adoption framework. For introducing GenAI capabilities, we began by identifying personas in our organization who might benefit from them, and then specific and highly targeted use cases for the technology. Finally, we have created personalized training plans for each role or persona that guide users carefully, so they know exactly how to make the most of the capability.

Use experimentation to validate the technology. For Copilot, we ran an exercise with three groups of users. Group A had no Copilot licenses, while for Group B, we simply gave these users access to the tool, with no training or guidance: it was up to them to work out what to do. Group C got our full adoption framework. The results? We saw a 31% boost in adoption in Group C compared to Group B. Moreover, Group C registered time savings of 2.5 hours per week versus 1.8 hours per week for Group B. The exercise also gave us baseline data, for example on how much time teams could save on specific tasks such as creating presentations. This was another strong example and argument confirming that our adoption framework was working.

Involve employees closely in the process. Exercises like our Copilot experiment help ensure that people engage more readily with new technology. We got people closely involved in selecting the use cases for Copilot, which makes it more relatable, driving adoption and ultimately improving ROI. This process creates evangelists, too. Because our Group C cohort could clearly see the technology’s value for them, they championed it across the company and especially with their teams, encouraging further adoption.

Create hyper-personalized and continuous training plans. We worked with project managers and process owners to make sure that the Copilot use cases were relevant to their everyday tasks, such as producing presentations at very short notice. Armed with this understanding, we created highly tailored training that showed how technology could help them reach their goals. Also, we found that continuous training around creating prompts was very valuable in helping people get the best value out of GenAI. It is also fun and helps keep the community united. For example, we have created a group in which we are sharing useful prompts, and we also have regular short sharing sessions.

Leveraging partners. We tapped our partner to help us by coming in with specific use cases and training offers that helped build our skillsets. In a domain that changes as fast as GenAI, partnership and collaboration are essential to getting good outcomes.

Communicate proactively about employees’ concerns. Questions about ethical AI and whether it will steal people’s jobs are common. It’s therefore important to ensure that the adoption framework clearly defines ethical AI and the ethical use of AI. To ensure responsible and secure use of AI, we leveraged our Responsible AI framework. This framework provides clear guidelines for our employees, aligning with our company values and helping them use AI responsibly. And to allay concerns about GenAI’s impact on jobs, we focused on its ability to take over unpopular mundane and time-pressured tasks such as minute-taking, drafting communications, or sifting through a crowded email inbox. As their proficiency grew, we introduced more sophisticated techniques, including enhancing their ability to create advanced prompts that yield more precise and tailored outputs.

Time, innovation and training

Our experience with Copilot and other GenAI projects is that a structured pilot phase is key, and that people need time to learn the innovative technology. It is also necessary to have a framework for AI adoption and change management that is tailored to your team’s specific needs. Coupled with training and active engagement of users, this will motivate and clear up concerns about GenAI.

Once the technology embeds itself in the organization and spreads out, it becomes part of the culture and accelerates your path to realizing real value from GenAI.

[nemkodigital]

Enhance AI transparency, quality and performance with expert advise on governance and AI strategy. Manage your AI models, risks, lifecycle and data for success.

[2ribu]

Peran Alat Pembelajaran Mesin dalam Meningkatkan Kemampuan AI di 2025

Pembelajaran mesin (machine learning) adalah cabang dari kecerdasan buatan (AI) yang memungkinkan sistem untuk belajar dan meningkatkan performa mereka tanpa pemrograman eksplisit. Dalam beberapa tahun terakhir, perkembangan pembelajaran mesin telah menjadi pendorong utama kemajuan AI. Pada tahun 2025, peran alat pembelajaran mesin semakin signifikan dalam meningkatkan kemampuan AI, baik dalam…

[saptutorials]

SAP’s Human-Centered Approach to Ethical AI Development in 2024

Introduction As artificial intelligence (AI) has swiftly become a crucial instrument in the operations of government, industry, and society, it has raised ethical problems that have never been seen before.SAP, a multinational corporation that specializes in corporate software, has made “Trustworthy AI” the foundation of its artificial intelligence strategy. The purpose of this blog is to…

[zomb13s]

The Flipped Script: Intelligence, Authority, and the Complex Interplay of Power in Society

Introduction The intersection of artificial intelligence, power structures, and the psychological dynamics of authority forms a rich ground for critical reflection. As CEO of alfons.design, and as someone who has experienced the transformational moment of soliciting for a position within the council of state of the Netherlands’ royal household, the experiences of Alfons Scholing offer a unique…

[procurement-insights]

Procurement didn't start the fire, Gartner did?

Did Gartner create the FUD that led to GenAI initiative failures?

Ryan Backman Senior Account Executive @ Gartner | Problem Solver | Quote EnthusiastSenior Account Executive Book an appointment • 12 hours ago Gartner predicts that by 2027, 60% of organizations will fail to realize the expected value of their AI use cases due to incohesive ethical governance frameworks.Learn how proactive CDAOs are prioritizing AI-ready data governance.Gartner for IT |…

[thisisgraeme]

AI Governance in Education: Insights from Thought Leadership and Comparative Findings in Aotearoa New Zealand

How can AI governance shape the future of education? Explore key insights from PwC and our own findings on ethical oversight, AI in classrooms, and the role of leadership in driving responsible AI use. Read more! #AIinEducation

As AI continues to permeate various sectors, including education, understanding how it should be governed is essential. In PwC New Zealand’s Artificial Intelligence: What Directors Need to Know, a comprehensive framework for AI governance is presented, offering valuable insights that extend beyond corporate boardrooms and into the educational landscape. While the report is primarily…

[leonbasinwriter]

Building Business Universes: Ethics and AI Combined

Where AI, Ethics, and Stardust Collide to Build Universes of Impact 🚀 Launching Cosmic Business Architecture 3.0 ∞ The universe of business is expanding—fast. Old leadership constellations are collapsing, and new galaxies of innovation are being born. Today, I’m thrilled to introduce The Cosmic Business Architect—a fusion of AI’s precision, cybersecurity’s integrity, and the raw creativity of…

[jcmarchi]

UK Government prioritizes AI for economic growth and services

New Post has been published on https://thedigitalinsider.com/uk-government-prioritizes-ai-for-economic-growth-and-services/

UK Government prioritizes AI for economic growth and services

The UK government is significantly pushing to harness the power of artificial intelligence (AI) as a central tool for economic growth and improved public services. Newly appointed Science Secretary Peter Kyle has declared AI a top priority, aiming to leverage its potential to drive change nationwide.

On July 26th, Science Secretary Peter Kyle appointed Matt Clifford, a prominent tech entrepreneur and Chair of the Advanced Research and Invention Agency (ARIA), to spearhead the government’s AI initiatives. Clifford’s primary task will be to develop a comprehensive AI Opportunities Action Plan. This plan explores how AI can enhance public services, drive economic growth, and position the UK as a leader in the global AI sector.

“We’re putting AI at the heart of the government’s agenda to boost growth and improve our public services.” — Science Secretary Peter Kyle

Developing a competitive UK AI sector

A key focus of the AI Opportunities Action Plan will be building a robust UK AI sector that can scale and compete internationally. The plan will outline strategies to accelerate AI adoption across various sectors of the economy, ensuring that the necessary infrastructure, talent, and data access are in place to support widespread implementation.

The Action Plan is expected to be a critical driver of productivity and economic growth in the UK. According to estimates from the International Monetary Fund (IMF), the widespread adoption of AI could potentially boost UK productivity by up to 1.5 percent annually. While the timeline for realizing these gains may be gradual, the long-term benefits are substantial.

To support the implementation of the Action Plan, the Department for Science, Innovation and Technology (DSIT) will establish a new AI Opportunities Unit. This unit will bring together expertise from across government and industry to maximize AI’s benefits, ensuring that the UK can fully capitalize on this transformative technology.

Government and industry collaboration

Developing the AI Opportunities Action Plan will involve close collaboration with key figures from industry and civil society. The plan will also consider the UK’s infrastructure needs by 2030, including the availability of computing resources for startups and the development of AI talent in both the public and private sectors.

Science Secretary Peter Kyle emphasized the importance of AI in the government’s agenda, stating, “We’re putting AI at the heart of the government’s agenda to boost growth and improve our public services.” He expressed confidence in Matt Clifford’s ability to drive this initiative forward, highlighting Clifford’s extensive experience and shared vision for the future of AI in the UK.

Chancellor of the Exchequer Rachel Reeves also underscored AI’s economic potential, noting that it could help create good jobs across the country, deliver improved public services, and reduce taxpayer costs.

Matt Clifford’s vision for the future

Matt Clifford expressed enthusiasm for his new role, stating, “AI presents us with so many opportunities to grow the economy and improve people’s lives. The UK is leading the way in many areas, but we can do even better.” He is set to deliver his recommendations to the Science Secretary in September, marking a significant step forward in the UK’s AI journey.

As the UK government places AI at the forefront of its agenda, the newly launched initiatives and the forthcoming AI Opportunities Action Plan are poised to play a pivotal role in shaping the future of the nation’s economy and public services. With strong leadership and collaboration between government, industry, and civil society, the UK is positioned to harness the full potential of AI, driving sustained economic growth and improving the lives of its citizens.

Read about how Singapore is approaching GenAI governance below:

Singapore’s Draft Framework for GenAI Governance

Explore Singapore’s new draft governance framework for GenAI, addressing emerging challenges in AI usage, content provenance, and security.

Like what you see? Then check out tonnes more.

From exclusive content by industry experts and an ever-increasing bank of real world use cases, to 80+ deep-dive summit presentations, our membership plans are packed with awesome AI resources.

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[michellesanches]

Latest AI Regulatory Developments:

As artificial intelligence (AI) continues to transform industries, governments worldwide are responding with evolving regulatory frameworks. These regulatory advancements are shaping how businesses integrate and leverage AI technologies. Understanding these changes and preparing for them is crucial to remain compliant and competitive. Recent Developments in AI Regulation: United Kingdom: The…

[santong]

Will Artificial Intelligence Replace Most Jobs

Artificial intelligence (AI) has become a ubiquitous term, woven into the fabric of our daily lives. From the moment we wake up to a smart alarm on an AI-powered phone to the personalized recommendations on our favorite streaming service, AI’s influence is undeniable. But perhaps the most significant question surrounding AI is its impact on the future of work. Will AI replace most jobs, leaving a…

[2ribu]

Evolusi Framework AI: Alat Terbaru untuk Pengembangan Model AI di 2025

Kecerdasan buatan (AI) telah menjadi salah satu bidang yang paling berkembang pesat dalam beberapa tahun terakhir. Pada tahun 2025, teknologi AI diperkirakan akan semakin maju, terutama dengan adanya berbagai alat dan framework baru yang memungkinkan pengembang untuk menciptakan model AI yang lebih canggih dan efisien. Framework AI adalah sekumpulan pustaka perangkat lunak dan alat yang digunakan…