This is a republication of Horizon Search’s article on LinkedIn.
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Generative AI isn’t a threat, but a powerful tool for human-AI collaboration. Boston Global Forum advocates for responsible AI development to unlock its potential for innovation across industries while ensuring ethical practices and human oversight.
Artificial Intelligence is changing the world at a neck-breaking speed. From Washington Street to Silicon Valley, the inception of ChatGPT in late 2022, stirred roundtable discussions centered around the implications of this technology across major institutions. The technology landscape has been brimming with countless AI innovations in the last two and a half years. From easy plagiarism to writing code, the media in 2022 scrutinized tasks a chatbot could perform in a couple of minutes. But now with rapid advancements in technology, the chatter has given way to grave questions related to ethical AI use:
● Will generative AI replace my job and leave me unemployed?
● How can I know what’s real and what’s not in a world of sophisticated algorithms?
● Will critical decisions about my health and well-being be made by machines?
From 2017, Boston Global Forum (BGF) has been among the world’s most innovative think tanks in developing strategies for AI in politics and society. Driven by its core purpose of unlocking the potential of those to advance the world, BGF has contributed many significant pioneering initiatives. Now, BGF is harnessing the combined power of generative AI and human capabilities to drive growth, innovation, and transformation through the Artificial Intelligence World Society Initiative (AIWS). Founded by Governor Michael Dukakis and Nguyen Anh Tuan in November 2017, the AIWS is a means of counteracting the unethical uses of AI by building a 7-layer model for the ‘Age of Global Enlightenment.’
AIWS: Moving Toward Responsible AI Governance
Since 2017, the AIWS initiative, spearheaded by the BGF, has been on a mission to shape responsible AI governance and foster new models of democracy. In a short period, the initiative has achieved the following:
● 2017: The AIWS has launched, setting the stage for global discourse on AI governance.
● 2018: The AIWS Leader Award was established to recognize distinguished leaders in AI for social good. At the BGF-G7 Summit, AIWS unveils the groundbreaking AIWS 7-Layer Model, a roadmap for leveraging AI to enhance democracy and individual rights.
● 2019: The AIWS-G7 Summit initiative introduces the ‘The Next Generation Democracy- AI World Society,’ envisioning a world with AI-powered transparency, inclusivity, and citizen engagement in governance. This has three components: AI-Government, AI-Citizen, and AI Government Index.
● 2020-2022: Expanding Collaboration and Addressing Challenges. A collaboration with Club de Madrid and Boston Global Forum (BGF) leads to the Policy Lab ‘Transatlantic Approaches on Digital Governance.’ This lab underscores the importance of global policies for AI management, governance and announces the social contract for the ‘AI-Age.’ BGF and United Nations co-published the book “Remaking the World – Toward an Age of Global Enlightenment”. There is a special session at the Riga Conference 2021 about this book.
● 2023: The Riga Conference 2023 publishes BGF’s special report “How to Govern AI in an Age of Global Tension.” At the C20-G20 Summit in India in 2023, the recognition of the Social Contract for the AI Age and AI World Society highlighted the global significance of AI governance and the need for international cooperation.
● 2024-Present: The BGF conference honoring Alondra Nelson’s contributions to AI governance stands as a testament to AIWS’s unwavering pursuit of harnessing AI for the greater good and fortifying democratic principles globally and building new democracy.
Deploying Data Sovereignty – Knowledge Platform for AI
Through the AIWS initiative, the Boston Global Forum is seeking to build an AI architecture complementing, not competing with, human strengths. This means AI innovation that leverages human intellect, emotional intelligence (EQ), and cognitive Intelligence (IQ) to achieve desired outcomes.
In this AI-led era of technological advancement, it’s more important than ever for humans to tap into their empathy and lead ethically and with passion as they use AI to advance and improve society in their respective fields of work. Considering this, the Boston Global Forum has conceived “Data Sovereignty – Knowledge Platform for AI”.
As they experiment and innovate with AI, businesses must set in stone the ethical guardrails for using this technology. Generative AI, an amplified and augmented intelligence, is not an alternative to human ingenuity, the BGF believes. In the rapidly evolving landscape of artificial intelligence (AI), the need for a comprehensive knowledge platform has never been more pressing. Furthermore, as AI systems continue to permeate various aspects of our lives, from healthcare and finance to transportation and entertainment, the importance of having a centralized repository of knowledge to inform decision-making processes is paramount. Recognizing this, the Boston Global Forum has conceived the Data Sovereignty – Knowledge Platform for AI. This platform serves as an essential resource, providing a foundation upon which AI applications and systems can reference, think critically, and make informed decisions.
CEO’s Guide to Generative AI Revolution
Much like the first free web browser that changed how humans worked and lived, generative AI can disrupt nearly every industry. A double-edged sword, AI promises both competitive advantage and creative destruction. Either way, a revolution in business-model innovation is coming. How should the C-suite respond? From BGF’s standpoint, the priority for CEOs isn’t to fully immerse themselves in the technology but, instead focus on how generative AI will impact their organizations and industries. They must also zero in on strategic choices they make for the company:
● What innovations become possible when every employee can access the seemingly infinite memory generative AI offers?
● How will this technology change how employees’ roles are defined and how they are managed?
● How do you deal with false or biased output generated by generative AI models?
Building Generative AI Solutions for Healthcare
The healthcare industry is committed to high-quality care for patients but for that, healthcare providers must first go through rigorous documentation tasks. Helios, a leading hospital chain in Germany, had begun working toward a comprehensive digital ambition when its team decided to explore using Generative AI to simplify lengthy documentation. BGF worked with partners to find ways to acquire patient data that doctors would consider before generating a discharge letter from the hospital information system, all of which were previously challenging to retrieve. Recognizing that patient privacy was paramount, BGF developed the proof of concept for the cardiology department in an on-the-premises environment. Based on real patient data and historic discharge letters, BGF fine-tuned two open-source large language models (LLMs) for the specific talk in several iterations, leveraging state-of-the-art data science practices. Through a detailed plan, BGF helped doctors generate discharge letters with a touch of a button-saving hours’ worth of work per day.
Artificial Intelligence: An Unchartered Territory
The emergence of generative AI is a pivotal juncture in human history. With its potential to revolutionize industries and augment human capabilities, industries should not miss the bus on AI innovation. However, responsible stewardship of AI is integral for its ethical and sustainable use.
President of European Commission Ursula von der Leyen highlighted in her speech at the Boston Global Forum Conference on December 12, 2020:
“It is such an honor to be here with you today. At the Boston Global Forum and Michael Dukakis Institute for Leadership and Innovation, you are at the forefront of research and debate. And you definitely work on some of the world’s most pressing issues. You drive the discussion on digital policy and how a human-centric approach on AI could look like. This is an issue whose importance simply cannot be overestimated.”
