Events
The Global Race to Regulate AI
As nations around the world jostle to shape the next wave of artificial intelligence, the question of how to regulate this game-changing technology has never been more urgent. This event will delve into the key ideas and questions raised by the European Union’s ambition to lead global AI policy, against the backdrop of a pivotal Executive Order emerging from the Biden Administration in Washington. A global realignment is taking shape in political capitals and innovation hubs around the world, in the wake of AI's rapid development. Our distinguished speakers, drawn from the forefront of AI policy, law, and research, will explore the potential of different countries to influence the AI policy landscape, and will dissect the major roles and the real-world implications of their work. The aim is to uncover how these global powerhouses are positioning themselves in the global effort to regulate AI, and what this means for the world. The event will be a must-attend for anyone interested in the complex, rapidly evolving world of AI governance.
Ethical AI Innovation Series: Advancing Governance, Risk and Compliance
This thought-provoking event brings together industry leaders Debu Chatterjee, CEO of Konfer.ai, Mikael Munck, CEO of 2021.ai, Giovanni Leoni, Head of Strategy at Credo.ai, and Abhinav Raghunathan, Founder of EAIDB, to discuss the challenges and opportunities of ethical AI, and share insights on how to establish robust frameworks for governance, risk mitigation, and compliance in the rapidly evolving AI landscape.
Exploring the Latest Trends in ML Operations
Our recent panel featured highly respected CEOs in the ML Ops space industry: Krishna Gade, CEO of Fiddler.ai, and Will Uppington, CEO of Truera. The discussion focused on the latest trends in Machine Learning Operations (MLOps) and the impact they are having on the industry.
Krishna Gade, CEO of Fiddler.ai, discussed the importance of model explainability in MLOps and how his company's platform helps ensure model transparency and accountability. Will Uppington, CEO of Truera, shared his perspective on the importance of model performance monitoring and how Truera's platform helps detect and mitigate model bias.
A New Wave of Data-Centric AI Startups
Data-centric AI is poised to reshape the technological, economic, and social fabric of our time, and with those changes come an entirely new set of challenges, questions, and opportunities. Why is it that data-centric AI is shifting us away from model-based approaches and what are some of the benefits?
How are these issues shaped by geography, particularly in the context of a regulatory environment which in the United States is non-existent with mature technology and in Europe which is ahead of the curve on regulation, but behind it on AI maturity?
Establishing Ethical AI Standards Introducing Confiance.ai
EAIGG members enjoy a ‘first look’ at the Confiance.ai program and IEEE’s new ethical AI standards. This star-studded panel promises to give unique insights into AI standards development in Europe, with strong implications for global standards development.
On January 24th, EAIGG hosted three prominent voices within the AI Ethics landscape, Kathy Baxter, Principal Architect of AI Ethics at Salesforce, Betsy Greytok, VP of Ethics and Policy at IBM, and Avi Weiss, CEO of Datomize. The panel delved into the important and timely topic of AI ethics at Enterprises. The panelists covered a range of topics, including the importance of involving diverse stakeholders in the development of AI systems, the need for transparency and accountability in the deployment of AI systems, and the broader societal implications of AI.
EAIGG Enterprise Panel
Ethical AI In the Due Diligence Process
To aid in this adoption of ethics, the majority of global technology companies have deployed ethical frameworks and policies, while multiple governments have released similar high-level frameworks. As enterprise and regulation begin to require ethical technology practices, the challenge becomes for startups to understand how to build these practices into the company and technology from the very beginning. This Perspectives Series examines how exemplary startups are responding to the challenge, and assessing their maturity in adopting best practices.
An Enterprise Perspective: In Conversation with Reid Blackman, Ph.D
Reid Blackman Reid Blackman, Ph.D., is the author of the book Ethical Machines (HBR Press, July 2022) and Founder and CEO of Virtue, an AI ethical risk consultancy. He has also been a Senior Advisor to the Deloitte AI Institute, a Founding Member of Ernst & Young’s AI Advisory Board, and volunteers as the Chief Ethics Officer to the non-profit Government Blockchain Association. In this Perspectives Series, EAIGG Executive Director Anik Bose mines Reid Blackman’s expansive expertise working with Fortune 500 and Global 1000 companies to explore AI’s ethical risk.
EAIGG built a mandate around assembling a diverse community of AI practitioners to democratize the development of Ethical AI covering Governance, Data Privacy and AI Climate Tech. This Perspectives Series lifts the veil on AI Climate Tech, and brings together Barak Ben Avinoam, head of NetZero, and Eshel Lipman, co-founder of the Ignite the Spark, the Israeli Tech Innovation community. They will explore how AI deployments in Climate Tech represent a growing investment area for both VCs, CVCs and even governments.
AI in Climate Tech
Building a Billion Dollar AI-First Business
A growing number of enterprise businesses are developing new tools and frameworks to help maximize the benefits of new AI systems while mitigating the risks. IBM, an exemplar in the space, has open sourced fairness tools, established an Ethical AI governance board, introduced senior level executives to ethics and privacy roles, and shaped global thought leadership at the World Economic Forum. However, there is no playbook for startups that seek to build large AI-first businesses responsibly. This panel discussion explores how startups can progressively institutionalize best practices around Ethical AI governance as they seek to build a billion dollar business.
Data privacy constitutes a cornerstone of the Ethical AI governance debate. The enormous amounts of data required to feed AI-driven algorithms — from search, to recommendation engines or adtech networks — incentivizes enterprises to reach deeper into our lives and conduct some of the most privacy-sensitive data analysis that occurs today. There are many dimensions to this issue, from data gathering, access and surveillance to security, governance and unintended consequences. This panel explores the impact of data governance and AI ethics on data privacy for consumers and enterprises alike.
Data Privacy
Ungoverned AI poses systemic risks for the financial services sector, warns a new report from the OECD. On Tuesday November 16th, we hosted our first EAIGG Perspectives Series covering how AI-first startups are dealing with these new challenges. TruEra President Anupam Datta discussed Trustworthy AI in Banking, and Zelros CEO Christophe Bourguignat shared insights on Transparency, Explainability and Bias Detection in Insuretech. In this panel, founders and investors explore new trends regarding data governance in the financial service space including the need for ethical AI frameworks. The panel was moderated by BGV's Venkat Raghavan.
AI Governance in Financial Services
Physical Events
Securing AI Summit
In all its new forms, artificial intelligence is advancing and disrupting the ways we work and live, raising profound questions about real versus augmented versus super or other forms of intelligence. How can we safely embrace the power of AI and automation? What are the opportunities, risks - and the unknowns - as we handle for right now and peer into the future? On behalf of Forgepoint Capital, BGV, and the Ethical AI Governance Group (EAIGG), join us for a private, invite-only summit uniting thought leaders and practitioners across industries as we tackle what's on everyone's minds: Securing AI.
Investing in Ethical AI
Ethical Intelligence founder Olivia Gambelin unveils the Ethics Maturity Continuum, a groundbreaking framework to help investors and entrepreneurs identify strengths weaknesses, and practical steps to address AI governance and data privacy challenges.
As nations around the globe prepare for elections this year, our Perspectives Series plane aims to tackle crucial issues surrounding AI's role in data authentication and verification amidst rampant misinformation, hallucinations, and disinformation. At the upcoming panel, distinguished experts including Krishna Gade, CEO of Fiddler, Sandeep Mehta, ex-CTO of The Hartford, and John Derrick, CEO of Authentrics, will delve into the complex interplay of data ownership, ethical frameworks, and technological tools essential for ensuring the integrity of AI outputs. With AI models increasingly influencing public opinion and election outcomes, the panel will also feature AI Ethics Professor Daniel Schiff to discuss the socio-political implications and the risks posed by foreign interventions. This discussion aims to highlight best practices and innovations like Authentrics' capability to inspect AI "black boxes," and tools from companies like Fiddler for enhancing model transparency and accountability. This panel is not just timely but critical in shaping how AI technologies are harnessed to safeguard democratic processes and maintain societal trust.