In my decades as a former IP litigator and in-house legal counsel, I've witnessed the evolving challenges enterprises face in managing risk and compliance. Now at KomplyAi, I see these challenges amplified in the AI space and bring that knowledge to solve a really hard problem.
The complexity is striking. Enterprises are navigating a web of AI regulations that intersect with existing frameworks for hardware, software, and open-source tech management. Risk profiles vary significantly across sectors, activity types intersecting with AI, and AI applications, adding another layer of complexity.
Integrating AI governance into mature disparate global regimes like data privacy, cybersecurity, export control, and IP protection is a key challenge. It's not just about reading up on new AI laws and adding that to your checklist; it's about implementing change in complex environments with established processes, board dates, budget lines, and long global product roadmaps.
Practical considerations often get overlooked - like ensuring your engineers understand from the first moment they meet in a new "AI product scrum" that they are not building something illegal, or that they factor in the right infrastructure, to meet new global certification requirements for overseas markets, to avoid costly retrofitting. Procurement teams understanding the right contractual requirements to include now for long term 'Master Services Agreements', for instance, real-time monitoring and reporting obligations from suppliers, in critical infrastructure supply chains.
At KomplyAi, we have lived in the trenches with our customers, we're focused on these nuanced challenges, looking at how different stakeholders - from board members to engineers, legal teams to procurement specialists - are influenced by organizational cultures and pressures to demonstrate ROI in AI.
We've learned that a diverse mindset and team are crucial. Marrying legal expertise with AI knowledge provides the holistic view needed to navigate this landscape effectively. Without a deep appreciation of the full risk environment and competing regulatory requirements, it's impossible to anticipate the legal challenges of AI.
The reality is you can't move a titanic overnight. Readiness is key, and iterative change is important. Innovative technology and human upskilling will certainly play a pivotal role in ensuring AI governance and risk management are done well in enterprise settings.
At KomplyAi, we're committed to pushing the innovation envelope, continuously evolving our approach to support responsible AI deployment in the enterprise world.
It's a fascinating time to be in this space, and I'm excited to see how we can contribute to shaping the future of AI governance. Thank you MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) for inspiring us.
ICYMI: Based on decades of legal experience and data gathered on AI-related laws and standards, MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) Startup Connect Plus member KomplyAi aims to support small businesses, large organizations, and governments as they bring about a safe and trustworthy AI-powered world.
According to KomplyAi founder Kristen Migliorini, “the connection to MIT and to researchers through the startup program was really quite pivotal because it either developed or firmed up my research on some really complex and cutting-edge issues.”
In her mind, combining the skillsets of academic researchers, industry professionals, and compliance backgrounds such as her own to create a commercial product is crucial because “we won’t solve these novel challenges with a singular mindset. We need the lawyers, academics, ethicists, large technology companies, and ultimately, the ‘doers,’ coming together.”
Learn more about how KomplyAi connects with CSAIL Alliances: https://bit.ly/3PddTL8
-