**Ars Technica’s “AI in DC: Privacy, Compliance, and Making Infrastructure Smarter” Event Overview**
Following the success of last month’s event in San Jose, Ars Technica is set to arrive in Washington, DC, for an engaging conference centered on artificial intelligence (AI), privacy, and infrastructure. This gathering will further explore policy-driven discussions, showcasing the distinct regulatory environment of the nation’s capital. If you’re located on the East Coast and eager to delve into the convergence of AI, compliance, and data security, this event is sure to be enlightening.
In collaboration with IBM, Ars Technica is proud to present “AI in DC: Privacy, Compliance, and Making Infrastructure Smarter.” Attendees can expect three panel discussions, each addressing essential challenges faced by businesses, policymakers, and technologists in today’s rapidly advancing AI ecosystem. Whether you are a technology enthusiast, a policy aficionado, or a business executive, these discussions are designed to provide crucial insights into how AI is transforming various sectors and the accompanying complexities.
### Event Summary
The event will center around three principal themes:
1. **Navigating Compliance with New Technologies**
2. **Ensuring Data Security Amidst AI-Driven Cyber Threats**
3. **Optimal Infrastructure Solutions for Your AI/ML Initiatives**
Each panel will consist of industry experts and thought leaders who will share their insights, experiences, and strategies for maneuvering through the intricate realm of AI, data security, and infrastructure. Below is a detailed look at the panels and the confirmed speakers.
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### **Panel 1: “Navigating Compliance with New Technologies”**
As organizations embrace emerging technologies such as AI and machine learning (ML), they face the challenge of aligning with a complex regulatory framework. Traditionally, regulations often lag behind technological innovations, resulting in obstacles for organizations eager to advance while ensuring compliance with existing laws. This panel will examine methods for companies to harmonize innovation with adherence to regulations, highlighting that compliance can be an enabler rather than an impediment.
#### **Panelists:**
– **[Anton Dam](https://www.linkedin.com/in/antondam)**, VP of Engineering for Data AI/ML, AuditBoard
Anton Dam possesses extensive expertise in AI and machine learning, particularly regarding data governance and compliance. As a leader at AuditBoard, he has a deep understanding of how organizations can utilize AI innovations while conforming to regulatory standards.
– **[John Verdi](https://fpf.org/person/john-verdi/)**, SVP, Policy at Future of Privacy Forum (FPF)
John Verdi plays a pivotal role in shaping privacy policy, straddling the line between technology and regulation. His deep knowledge of privacy legislation and its implications for AI technologies will offer valuable insights on how organizations can stay compliant in a privacy-sensitive environment.
– **[James Comstock](https://www.linkedin.com/in/jicomstock)**, Program Director, Offering Management, Hybrid Multi-Cloud Storage, IBM
James Comstock focuses on hybrid multi-cloud storage solutions crucial for businesses handling extensive AI and ML tasks. His expertise will illuminate how infrastructure decisions can affect compliance and data protection.
#### **Moderator:**
– **Lee Hutchinson**, Senior Technology Editor, Ars Technica
As a veteran technology journalist, Lee Hutchinson will steer the discussion to ensure a comprehensive examination of both technical and regulatory perspectives on compliance with emerging technologies.
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### **Panel 2: “Ensuring Data Security Amidst AI-Driven Cyber Threats”**
As AI technologies evolve, so too do the threats from cybercriminals and nation-state actors. AI-enhanced cyber-espionage is an escalating issue, and organizations need to stay proactive to safeguard their data and infrastructure. This panel will convene experts in information security (infosec) to analyze the latest threats and strategies for defending against AI-powered cyber assaults.
#### **Panelists:**
– **TBA**
This panel will feature renowned infosec professionals who will share insights into the shifting threat landscape and recommend best practices for shielding against AI-fueled cyber-espionage.
#### **Topics to be Discussed:**
– Utilization of AI by cybercriminals to amplify their attacks
– The role of AI in identifying and mitigating threats
– Effective strategies for securing data and infrastructure within an AI-centric context
– Navigating the challenges posed by nation-state adversaries and other advanced attackers
—
### **Panel 3: “Optimal Infrastructure Solutions for Your AI/ML Initiatives”**
The concluding panel will address the infrastructure needed to support AI and ML projects. As AI workloads increase in complexity, organizations must select the appropriate infrastructure solutions to guarantee scalability, performance, and security. This panel will investigate the diverse infrastructure options, ranging from on-premises technologies to cloud-based systems, and provide guidance on making the best choice for your specific AI/ML objectives.
#### **Panelists:**
– **TBA**
