Tag: AI

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31 Days to More Effective Compliance Programs

Four Practices for Delivering an AI Solution to Compliance


Next, we consider the four practices that create the conditions for delivering an AI solution to compliance. Using these four practices can lead to enhanced operational excellence, more efficient business processes, and a more robust compliance experience. They are: (1) developing clear, realistic use cases, (2) managing AI learning, (3) continuous Improvement and (4) thinking cognitively. By applying these practices, business leaders can full operationalize AI applications for compliance into their organizational DNA and set themselves up to reap those rewards. It is a continuous cycle. The capabilities enable employees to execute the practices, and the practices themselves exercise and strengthen the capabilities. This cycle helps companies continually adapt at developing and using AI applications that make operations more efficient and create business value through greater profitability.
Three key takeaways:

  1. AI is not a panacea.
  2. It is not simply about reading numbers, it is thinking critically.
  3. Continuous improvement is a key by product of using AI in compliance.

 

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31 Days to More Effective Compliance Programs

Compliance Capabilities Needed to Use AI Programs


Next we consider the crucial capabilities which a compliance function must have to implement an AI solution. Over the next several pieces, I will use the article Using AI to Enhance Business Operations by Monideepa Tarafdar, Cynthia M. Beath as an introduction into the how the corporate compliance function can use an Artificial Intelligence (AI) program to not only enhance the compliance function but also business operations.
Generating value from AI programs is not easy for compliance professionals as there can be multiple roadblocks to successful design and implementation. The problem is, many companies which desired to benefit from AI programs failed to do so have failed to develop the necessary organizational capabilities. The authors identified five capabilities that companies need to splice into their organization’s DNA to create an effective AI program, have adapted for the compliance function.
Three key takeaways:

  1. What is the power of an AI application?
  2. What are the foundations of AI application competence?
  3. What are some of the roadblocks to AI competence?
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The Walden Pond

Legal Trends in Artificial Intelligence with Lee Tiedrich


Vince Walden welcomes Lee Tiedrich to the Walden Pond podcast this week. Lee is a partner at Covington and Burling where she co-chairs the firm’s global and multidisciplinary artificial intelligence (AI) practice. AI is at the intersection of law and technology, she says. The technology is growing faster than the law, and Covington helps clients navigate the evolving legal landscape so they can capitalize on the opportunities presented by AI. Other aspects of their work include product counseling, advising clients how to improve their operational efficiency using AI, and advising clients about how to adapt their business based on the policy landscape.
Listen to the episode now:

What is AI?
Lee defines AI as using computing to automate, imitate or emulate human behavior. There are three key components to AI, algorithms and code, data, and hardware. Advancement in digital and hardware technology is greatly responsible for the enthusiasm for AI in the market. Lee predicts that the adoption and development of AI will continue to grow. 
Compliance Professionals Need to Know
If you’re using AI or planning to, you should be aware of the key issues and policy developments, especially in your jurisdiction. The policy landscape is evolving rapidly. If AI is relevant to your business, become informed of where the policy is going and think about how that impacts your business and what type of changes you might need to make to your operations. Another issue that’s relevant to compliance professionals is how to make AI trustworthy to enjoy its benefits while mitigating against unintended harms. Lee says that governance is an effective tool to help manage the data, development, and deployment of AI. Given the rapidly evolving landscape and the growing interest in AI, organizations should dedicate some resources to understanding the AI legal landscape.
Resources
InsideTechMedia.com
Law 360 article: The 10 Best Practices For Due Diligence in AI Transactions 

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FCPA Compliance Report

Leveraging AI in Compliance Investigation: Part 5 – Where are investigations headed?

Today we conclude a five-part podcast series sponsored by Hanzo, where we have considered how to leverage Artificial Intelligence (AI) in compliance investigations. I have been joined by several members of the Hanzo team as we explored the current best practices around investigations and how your compliance function can take investigations to a level of cost efficiency and operational proficiency. Our explorations include considering the current Department of Justice (DOJ) guidance on investigations, the use of AI in the Hanzo Investigator, how Hanzo technology can help a company overcome common investigative challenges and Hanzo’s specific approach to finding and managing data across the entire lifecycle of an investigation. In Part 5, I am once again joined by Keith Laska, Hanzo CEO, to consider how the company’s specific approach to finding and managing data across the entire lifecycle of an investigation improves the efficiency of a compliance investigation in a cost-effective manner.  For more information check out Hanzo.co.
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FCPA Compliance Report

Leveraging AI in Compliance Investigation: Part 4-Improving Investigative Efficiencies

I am on a five-part podcast series sponsored by Hanzo. In this series we consider how to leverage artificial intelligence (AI) in compliance investigations. In this series I am joined by several members of the Hanzo team as we explore the current best practices around investigations and how your compliance function can take investigations to a level of cost efficiency and operational proficiency. Our explorations includes considering the current Department of Justice (DOJ) guidance on investigations, the use of AI in the Hanzo Investigator, how Hanzo technology can help a company overcome common investigative challenges and Hanzo’s specific approach to finding and managing data across the entire lifecycle of an investigation. In this Part 4 I am joined by Keith Laska, Chief Executive Officer (CEO) at Hanzo to consider how the use of AI in investigations improves the workflow and processes around solving complex problems that compliance professionals experience when work around data. For more information, check out the Hanzo Dynamic Investigator in more detail and how it will assist you moving forward. For more information visit Hanzo.co.
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FCPA Compliance Report

Leveraging AI in Compliance Investigation: Part 3-Overcoming Investigative Challenges

This week I embark on a five-part podcast series sponsored by Hanzo. In this series we consider how to leverage artificial intelligence (AI) in compliance investigations. In this series I am joined by several members of the Hanzo team as we explore the current best practices around investigations and how your compliance function can take investigations to a level of cost efficiency and operational proficiency. Our explorations includes considering the current Department of Justice (DOJ) guidance on investigations, the use of AI in the Hanzo Investigator, how Hanzo technology can help a company overcome common investigative challenges and Hanzo’s specific approach to finding and managing data across the entire lifecycle of an investigation. In this Part 3, I am joined by again Jim Murphy, VP for Products at Hanzo to consider more specifically how this technology has been used by legal professionals in the past and why this matters for compliance professionals going forward.  For more information, check out the Hanzo Dynamic Investigator in more detail and how it will assist you moving forward. For more information visit Hanzo.co.
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FCPA Compliance Report

Leveraging AI in Compliance Investigation: Part 2-Using AI and Web-Based Evidence

This week I embark on a five-part podcast series sponsored by Hanzo. In this series we consider how to leverage artificial intelligence (AI) in compliance investigations. In this series I am joined by several members of the Hanzo team as we explore the current best practices around investigations and how your compliance function can take investigations to a level of cost efficiency and operational proficiency. Our explorations includes considering the current Department of Justice (DOJ) guidance on investigations, the use of AI in the Hanzo Investigator, how Hanzo technology can help a company overcome common investigative challenges and Hanzo’s specific approach to finding and managing data across the entire lifecycle of an investigation. We begin today with Part 2 where I am joined by Jim Murphy, VP for Products at Hanzo to consider how to conduct more conclusive compliance investigations with AI and web-based evidence. For more information, check out the Hanzo Dynamic Investigator in more detail and how it will assist you moving forward. For more information visit Hanzo.co.
Categories
Innovation in Compliance

Innovation in Compliance: Using AI to Detect Bad Actors with Brandon Carl


Can you pick up misconduct signals from a conversation? Joining us today is Brandon Carl, the Vice President of Product Management at Digital Reasoning. He oversees their product portfolio and brings together research, machine learning, and development for their audio analytics and conduct surveillance, and he’s here to share how artificial intelligence can change the way we do compliance.

Digital Reasoning Solutions
Digital Reasoning got its start working with government institutions on identifying bad actors. When they shifted over into conduct surveillance, it was a very natural foray into looking for misconduct or bad actors within financial markets. The key behind all these regulations is to instill confidence in people participating in markets and make sure that the market is protected and liquid and that they’re getting fair prices.
Finding signals
When you take a look at bad actors in general, you tend to find two buckets of people:
1) Negligent bad actors who don’t have bad intentions, but are probably just unaware of the laws, and 2) Nefarious bad actors who are working to skirt the system and are intentionally engaging in misconduct.
When you take a look at them, you will see signals around how people communicate: someone may ask people to “keep things confidential” after engaging in some form of misconduct; if someone is narcissistic, you may hear them boasting after the fact. So the technology not only looks for the act of misconduct itself, but these behavioral signals as well.
Passing on the information
There are two views of the world that their customers traditionally think of:
First, the Alert-Based View, which you can think of as a single communication travelling through time that the algorithm will scan. Second is the Investigations View, where teams will review and investigate the alerts.
Now you want to amalgamate the various alerts that have happened over time, and think of those as either weak indicators of misconduct (like boasting), or strong indicators of misconduct (that point to a very specific form of activity). The world has evolved, and we’re realizing our communications say a lot about who we are and what we do.
Ongoing Education Credits
If you’re a compliance professional looking for a convenient and effective way to fulfill your continuing education requirements, check out our 4 hour-long training packages that will keep you up to date with the latest developments in the compliance field.
Resources
Brandon Carl (LinkedIn)
Resources for Digital Reasoning
Website
Twitter
Facebook
Vimeo
Financial Conduct Surveillance
AI is Starting to Change Compliance Practices. Here’s how