Let’s delve into each risk, supported by real-world examples from the report—highlighting why Responsible AI (RAI) is not just a guiding principle but a strategic necessity.

The Responsible AI Summit is the standout forum for actionable insights on AI governance. Unmissable for any practitioner!”

“The Responsible AI Summit is the standout forum for actionable insights on AI governance. Unmissable for any practitioner!”

To better understand what to expect from this upcoming event, have a lookback at Responsible AI Summit UK post show report. This past September, over 150 industry leaders, regulators, and academics came together to drive global progress in Responsible AI. From de-risking technology to implementing governance and compliance frameworks, our Post-Event Report showcases agenda highlights, participating companies, and attendee testimonials.

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DeepSeek has shown that it's possible to develop a state-of-the-art AI model that is affordable, energy-efficient, and nearly open-source. However, the real question is whether DeepSeek can maintain its impressive momentum—something that may ultimately depend on how its ethical standards measure up to OpenAI’s. Let’s dive in.

Responsible AI (RAI) is no longer a theoretical concept — it's become a cornerstone for business resilience and innovation. As AI and GenAI technologies continue to transform industries, companies are realizing that integrating these tools without responsible frameworks can create significant vulnerabilities. Learn more.

Generative AI is already demonstrating huge potential to drive growth and increase engagement with customers. Early applications such as creating hard hitting content on the fly, hyper personalisation, and streamlining complex tasks, have caught the imaginations of business leaders, who are rushing to understand how they can best leverage the technology and reap its rewards. But, with great power comes great responsibility. While Generative AI is shaping up to be the next big-ticket driver of productivity and creativity, it comes with several risks that need to be managed, to protect businesses and their customers from harm.

In this guide, we will take you through a step-by-step approach on how to mitigate the risks of using Generative AI for your business and explain what measures you can put in place to ensure safe and successful use of Generative AI.

The rapid evolution of Generative AI technologies has compelled regulators worldwide to adapt to emerging advances, innovations, capabilities, and associated risks. This growth marks the dawn of a new era, emphasizing responsibility and accountability for businesses and users alike.

Report highlights: 

• The influence of EU law in Responsible AI
• A world of evolving regulation
• Regulatory approaches in Asia-Pacific and the UAE
• The practicalities of responsible Generative AI
• Regulatory compliance challenges
  

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Building a strong business case for AI that prioritizes responsibility and ethics is essential for organizations seeking to capitalize on the transformative power of this technology. By the end of 2023, the global AI market reached an impressive $196.63 billion—a $60 billion surge from 2022—driven largely by an expanding range of practical applications. With such significant investment, incorporating responsible practices into AI strategies is no longer optional but imperative.

Get your complimentary copy now, and learn how to secure funding and buy-in for Responsible AI Implementation >>>

Get your insider's look at who attended the Responsible AI Summit UK 2024 with our Snapshot of Attendees!

This is a great opportunity to see which sort of companies and job titles attended the UK event and anticipate who might attend the US one. 

The Responsible AI Summit is the only meeting bringing together a broad spectrum of industry leaders, academia, and regulators to revolutionize the Responsible AI transformations necessary for organizations to thrive in the era of Generative AI.

>>>> Download your complimentary copy of our 2024 attendee list and explore who was onsite!

As an insider at EY said, “AI regulation will continue to evolve – but adherence to our principles remains constant.” If you begin on a similarly aware, principled, proactive, holistic foot, the ethical questions posed by AI in the future won’t catch you off guard – you’ll already be prepared.

Artificial intelligence (AI) is advancing at a remarkable pace, with Large Language Models driving new discussions around AI risks and safe usage. At the same time, governments worldwide are increasingly focusing on AI, introducing guidelines and legislation to promote responsible practices among developers and users alike.

This rapid evolution of AI technology, coupled with the changing regulatory landscape, underscores the urgency for businesses to adopt AI governance frameworks. But what does AI governance entail?

Report highlights:

• Understand the risk of using Generative AI
• Stay up to date with the latest regulations and guidelines
• Examine the pillars of AI governance
• Consider your companies case and factors that may affect your AI governance framework
• Choose an AI governance maturity level to aim for

In this report, we examine these 5 steps you can take to stay ahead of the curve in preparation for your AI journey.

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Looking to attend Responsible AI Summit North America? Why not have a look at our UK event - who was in attendance and our speaker line up.

Businesses face a significant educational barrier, with some 76% of IT professionals currently receiving either no or merely informal support with AI ethical issues. And with only 37–38% of employers recognising the need to give staff that support in the form of AI training, the few who do take the time to understand the ethical challenges and educate their team will be poised to seize the revolution for all its worth. Considering the cost of hiring a new employee can be as much as seven times the cost of upskilling an existing one, that education to use AI responsibly may even save money in the long run. The question is: how to offer it?

In almost any organisation, the implementation of AI and Generative AI solutions will involve a period of transition – and the need for ongoing training and development. From overcoming employee scepticism to refresher training when rules and regulations change or technology advances, a culture of continuous improvement – with responsibility and ethics at its heart – is crucial for organisations serious about AI implementation.

Do you need approval to participate in the Responsible AI Summit North America? We've created a customizable approval letter template to help you effectively convey the value of this must-attend event to your supervisor.

Download the "Convince Your Boss" letter template now and take the first step toward securing your spot at this premier Responsible AI Summit North America >>>

From generating compelling content in real time to simplifying complex tasks and enabling hyper-personalization, this technology has captured the attention of business leaders worldwide. With research suggesting that generative AI could impact up to 40% of all working hours, it's no surprise that organizations are eager to unlock its potential. As generative AI becomes more accessible, governments and lawmakers are taking proactive steps to regulate its use, aiming to minimize risks and promote safe practices. Staying informed about the evolving legal landscape is essential to mitigate risks and ensure compliance. This eBook examines how various countries are approaching the regulation of generative AI and outlines key steps to help you stay informed, compliant, and in control of your generative AI initiatives.

Generative AI has emerged as a significant force in recent years, poised to revolutionise how businesses operate, with many acknowledging its transformative potential in generating high-quality text, analysis, code, images, videos, and more from text prompts.

From the impact of legislative shifts to corporate strategies, delve into key insights shaping responsible AI deployment and the pursuit of an ethical digital future.

Implementing Responsible AI is crucial not only for the benefit of society as a whole but also for building trust in AI systems—an essential factor for their long-term success.

This panel will address:

• Fairness - designing and training models on data sets that are as diverse as possible and emphasize fairness
• Explainability - enabling users to gain insight into how decisions are made and how results are generated
• Privacy – ensuring data is kept private and secure to protect users’ personal data and privacy
• Trust – the potential for Generative AI to erode trust and the implications that has for business and society

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Global AI regulations, particularly in the EU, UK, US, and China, will impact businesses worldwide, aiming to ensure responsible AI use and ethical standards, potentially transforming the global AI landscape positively.