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Compliance and AI

Mastering ChatGPT: Part 2 – ChatGPT and Ethical AI

Welcome to a special five-part podcast series on mastering ChatGPT. My special guest throughout this journey is Larry Roberts, an accomplished professional with over 25 years of multifaceted experience. Having initiated his career in the corporate training sphere, he exhibited a remarkable shift to IT, contributing greatly as a Business Intelligence Analyst. His proficiency lies in harnessing predictive analytics for inventory and sales projections, which led him to tap into the realm of AI. In 2021, Larry chose to cozy up with podcasting and content creation. His tryst with ChatGPT began in November of the same year, and he has been fully engrossed with it since then. His insights into data models, large language models, and his overall passion for AI are certain to illuminate any forum.

In this Episode 2, we look at the ethical considerations of AI models such as ChatGPT.

In the age of AI, the ethical consequences of this transformative technology present pressing concerns for developers and industry professionals alike. In this episode 2, Tom and Larry shed light on the myriad ethical issues surrounding AI, from securing data privacy and GDPR compliance to mitigating the misuse of AI tools and addressing job displacement. There is a wealth of information and best practices to guide your ethical approach to AI, ensuring transparency, user control, and adaptability in a rapidly evolving landscape. Embark on this journey with us to ensure that the power of AI is harnessed responsibly, respecting every stakeholder’s rights and privacy.

In this episode, you will be able to:

  • Discover the crucial ethical questions surrounding AI and ChatGPT.
  • Uncover hidden truths about data privacy concerns and your control options.
  • Explore the significant role of GDPR and the collective effort required for privacy.
  • Understand how to combat the misuse of AI instruments through user collaboration.
  • Learn about AI ethics and why transparency, bias evaluation, and human supervision are paramount.

Key Highlights:    

  • Data Privacy
  • AI and Disinformation
  • Human in the Loop

Resources:

Larry Roberts

Larry Roberts on LinkedIn

Red Hat Media

Tom Fox

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Daily Compliance News

Daily Compliance News: July 11, 2023 – The A Nap a Day Edition

Welcome to the Daily Compliance News. Each day, Tom Fox, the Voice of Compliance, brings you compliance-related stories to start your day. Sit back, enjoy a cup of morning coffee, and listen to the Daily Compliance News. All from the Compliance Podcast Network. Each day we consider four stories from the business world, compliance, ethics, risk management, leadership, or general interest for the compliance professional.

Stories we are following in today’s edition:

  • ECB governor goes on trial for corruption. (Bloomberg)
  • Napping at work is good for you. (FT)
  • Clarence Thomas accepted more gifts. (The Guardian)
  • More senior employees are mentoring younger employees. (WaPo)
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Data Driven Compliance

Data Driven Compliance: Christian Perez-Font on Law, Compliance & Data

Are you struggling to keep up with the ever-changing compliance programs in your business? Look no further than the award-winning Data Driven Compliance podcast, hosted by Tom Fox, which is a podcast featuring an in-depth conversation around the uses of data and data analytics in compliance programs. Data Driven Compliance is back with another exciting episode. The intersection of law, compliance, and data is becoming increasingly important in cross-border transactions, mergers, and acquisitions.

In this episode, Tom welcomes Christian Perez-Font for the first of two parts on using performance bonds and data analytics to guarantee these transactions and the legal requirements and nuances of different jurisdictions when conducting due diligence. They also discussed how technology changes how companies manage Latin American operations, how practitioners need to understand Excel spreadsheets, and how to share data to benchmark and extract the correct information. Christian’s background in engineering and economics has helped him incorporate data analytics, compliance, and law into a unique package. Tune in to Data Driven Compliance and stay ahead of the curve in the compliance world!

Key Highlights:

  • Law Compliance & Data
  • Data as Fuel
  • Data Analytics in M&A
  • Data Analytics in Compliance

Resources:

Christian Perez-Font on LinkedIn 

Thinkeen Legal

 Tom Fox 

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Blog

Mastering ChatGPT: Ethical Challenges of ChatGPT

In this Part 2 of a five-part blog post series, I am considering the revolution wrought by ChatGPT. Today we consider how and, more importantly, why AI developers and industry professionals need to garner insights into the ethical considerations surrounding AI and ChatGPT. With the guidance of AI expert and founder of Red Hat Media, Larry Roberts, we will delve into the complexities of AI ethics, including data privacy, misinformation, bias, and job displacement. Roberts’s extensive field knowledge and experience make him a relatable source for understanding the challenges and best practices in implementing ethical AI solutions. By addressing these ethical concerns head-on, this article will equip you with the necessary tools and knowledge to navigate the ethical landscape of AI development, ensuring responsible and informed decision-making. Say goodbye to uncertainties and us as we demystify AI ethics, paving the way for a more ethically sound AI industry.

Human in the Loop

Human in the Loop (HITL) is an interaction model involving a human operator in AI decision-making. Due to their unpredictability, HITL scenarios often occur when definitive responses are difficult for AI systems to generate without human intervention. HITL emphasizes that human input and collaboration are critical in AI development, as an AI alone may only partially account for unforeseen situations.  Larry Roberts discusses the ‘Human in the Loop’ approach extensively. He highlights examples where human intervention was necessary to prevent unforeseen outcomes, implying the indispensability of human involvement in AI usage and development. Larry reiterates that even with advances in AI technology, human input remains vital to ensure quality results and prevent unexpected consequences.

AI Ethics and Best Practices

AI ethics is the study of the ethical issues related to the development and application of AI. It includes accountability, privacy, intellectual property, discrimination, bias, and job displacement. Fostering a deeper understanding and implementation of AI ethics ensures that advancements in AI technology are a force for good, benefiting humanity as a whole.  Referencing the episode, Larry Roberts provides an in-depth discussion on AI ethics. He emphasizes that understanding the perspectives of AI developers is paramount to accurate assessment and mitigation of bias. Recognizing the issues surrounding job displacement due to AI implementation, Larry suggests the potential of AI to create new opportunities, underlining the necessity of monitoring and adapting to the evolving AI landscape.

Securing Data Privacy and GDPR Compliance

The digital revolution has brought to the fore the importance of securing data privacy and tick-marking all requirements of the General Data Protection Regulation (GDPR) across industries. The speed and sky-rocketing impact of artificial intelligence (AI) technologies necessitate special attention to these aspects. As data forms the lifeblood of AI systems, ensuring the secure handling of this data keeps prominence. Equally significant is the adherence to GDPR policies, which is a step beyond data privacy, focusing on EU citizens’ fundamental rights. Non-compliance can lead to severe penalties. Addressing these requirements is more than just about legal and ethical obligations; it’s about building trust with the end users, enhancing business reputation, and ensuring that privacy concerns or non-compliance issues do not hold back AI’s fantastic potential.

Mitigating the Misuse of AI Tools

As we consider the suitability of AI technologies for various tasks, it’s crucial to discuss the potential for misuse. With the pervasiveness of AI in our digital landscape, there’s an increasing risk of these technologies being exploited. One of the leading concerns revolves around ethical use, mainly because AI technologies like chatbots can process vast amounts of data, some of which can be sensitive or private. Consequently, the misuse of AI tools could result in a breach of privacy and security, making it significantly vital to establish preventative measures.

As we strive to achieve an increased understanding of AI ethics and best practices for implementation, let us remember that great power comes with great responsibility. By staying informed, remaining vigilant, and consistently reassessing our practices, we can pave the way for a future where AI serves as a force for good. Join us tomorrow when we consider how ChatGPT will transform compliance training.

For more information on Larry Roberts, check out Red Hat Media.

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Principled Podcast

Principled Podcast – S9 E20 – What You Measure is What Matters: Training Effectiveness at Dell

What you’ll learn on this podcast episode

Does learning actually occur as a result of ethics and compliance training, or are employees just paying lip service when they take courses? How can you tell the difference? Today, the E&C community is focused on program impact and effectiveness rather than checking boxes—in part because regulators have made it clear that E&C programs must show impact from their activities. On the season 9 finale of the Principled Podcast, Susan Divers discusses how compliance teams can ensure they’re getting the right insights to improve their programs with Kristi Kevern, the senior managing director at Dell Technologies. Listen in as Kristi shares how her team collects and analyzes data to manage better and enhance Dell’s E&C program, particularly in the training area.
​

Guest: Kristi Kevern

Kristi Kevern – Grayscale

Kristi Kevern is an innovative thought leader with 20+ years of experience in internal control design, implementation, management, and assurance. At Dell Technologies, Kristi drives enterprise-wide risk management and governance activities, conceptualizes and implements global programs aimed at mitigating FCPA, AML, SOX, ESG, and other key risks, turns findings into fixes with post-investigation remediation, and experiments with AI and ML for further prevention and insights using data. Prior to Dell, Kristi served as a founding member of the Coca-Cola Company’s Ethics Office, where she investigated allegations of fraud and served as an ethics advisor to the credit union. As a former Big 4 manager at PricewaterhouseCoopers LLP, Kristi led assurance and attestation engagements for Fortune 500+ clients. Kristi is a recipient of TRACE International’s Innovation Award, and she has led Dell Technologies to an Ethisphere World’s Most Ethical Company designation 10 times. She is the membership chair of the Conference Board’s Global Business Conduct Council and a frequent speaker at conferences and universities. Kristi graduated with honors from Auburn University and is a Certified Public Accountant residing in Austin, Texas.

Host: Susan Divers

Headshot_Susan_Divers_S7E18_Principled_Podcast

Susan Divers is a senior advisor with LRN Corporation. In that capacity, Ms. Divers brings her 30+ years’ accomplishments and experience in the ethics and compliance area to LRN partners and colleagues. This expertise includes building state-of-the-art compliance programs infused with values, designing user-friendly means of engaging and informing employees, fostering an embedded culture of compliance, and substantial subject matter expertise in anti-corruption, export controls, sanctions, and other key areas of compliance.

Prior to joining LRN, Mrs. Divers served as AECOM’s Assistant General for Global Ethics and Compliance and Chief Ethics and Compliance Officer. Under her leadership, AECOM’s ethics and compliance program garnered six external awards in recognition of its effectiveness and Mrs. Divers’ thought leadership in the ethics field. In 2011, Mrs. Divers received the AECOM CEO Award of Excellence, which recognized her work in advancing the company’s ethics and compliance program.

Mrs. Divers’ background includes more than thirty years’ experience practicing law in these areas. Before joining AECOM, she worked at SAIC and Lockheed Martin in the international compliance area. Prior to that, she was a partner with the DC office of Sonnenschein, Nath, & Rosenthal. She also spent four years in London and is qualified as a Solicitor to the High Court of England and Wales, practicing in the international arena with the law firms of Theodore Goddard & Co. and Herbert Smith & Co. She also served as an attorney in the Office of the Legal Advisor at the Department of State and was a member of the U.S. delegation to the UN working on the first anti-corruption multilateral treaty initiative.

Mrs. Divers is a member of the DC Bar and a graduate of Trinity College, Washington, D.C., and the National Law Center of George Washington University. In 2011, 2012, 2013, and 2014, Ethisphere Magazine listed her as one of the “Attorneys Who Matter” in the ethics and compliance area. She is a member of the Advisory Board of the Rutgers University Center for Ethical Behavior and served as a member of the Board of Directors for the Institute for Practical Training from 2005–2008.

She resides in Northern Virginia and is a frequent speaker, writer, and commentator on ethics and compliance topics. Mrs. Divers’ most recent publication is “Balancing Best Practices and Reality in Compliance,” published by Compliance Week in February 2015. In her spare time, she mentors veterans and university students and enjoys outdoor activities.

Categories
Blog

Mastering ChatGPT: Introduction to ChatGPT

In this blog post series, a companion to the five part podcast series on Compliance and AI of the same name, I explore how the compliance professional and business executive can think through ChatGPT as a business tool. In this Part 1 of a 5-part blog post series, you learn how  to harness the power of ChatGPT while addressing potential pain points in AI implementation, including ethical considerations and achieving a balance between human creativity and AI assistance. My special guest in this is Larry Roberts, founder and CEO of Red Hat Media.

Roberts is a distinctive voice in the IT and AI sphere, he boasts an extensive 25-year corporate career during which he has made significant contributions in training and business intelligence. His strength lies in his data analysis skills, which he honed using predictive analytics early in his career. In 2021,  shifted his focus from the corporate sector to content creation and podcasting, which eventually led him to explore the potential of ChatGPT. Roberts’ experience combined with his relentless endeavor to understand and unfold the mystique around data models and large language models sets him apart as a thought leader in the AI domain.

Chat GPT Architecture

 Chat GPT is a sophisticated language model that relies on a massive body of text for its training. Behaviour patterns learned allow it to interact conversationally and assist with text-oriented tasks. Its impressive capabilities are derived from extensive linguistic data and customized tuning aligns with specific purposes such as education, creativity, and collaboration. An intriguing aspect worth noting is its reliance on human interaction and feedback. The process of predicting responses by choosing the next logical word in a sequence relies heavily on conversational input from users, leading to improved model accuracy over time.  Roberts noted that Chat GPT’s architecture is fascinating, particularly its learning mechanism dependent on human interactions. The extensive training facilitates improved accuracy in recognizing patterns to predict the most plausible next word in a sequence. Roberts emphasis was on the versatility of Chat GPT’s structure being suitable for various purposes like education or creativity, underscoring its invaluable contribution to different fields.

Chat GPT and Education

Embracing an era shaped by artificial intelligence and advanced technologies, developers, enthusiasts and even novices have access to powerful tools like ChatGPT. This tool, emerging from a sophisticated language model, embodies the capacity to turn raw data into an interactive dialogue that can vary in purpose from education to creativity. For those navigating the realm of education, exploring the potential applications of ChatGPT could prove illuminating.   Roberts illustrated how this model assimilates knowledge and enhances its capabilities through continuous interaction and feedback. The substantial applications it presents within the educational landscape become apparent when considering its skillset

ChatGPT and Research

Contextualizing the utilization of ChatGPT for academic research, we anchor at the core functionality of this AI model. It is an interactive conversational model that generates text, simulates human-like conversation, or fulfills a task based on the information fed to it. Built on a large language model, it amasses extensive textual data, harnessing vast amounts of information from different sources which become part of its knowledge repository. This endows the model with a significant ability to understand and generate productive responses, forming the backbone of its application in the educational research domain.

 The Future of AI Development

 Looking ahead, AI technology advancements hint at a future with multimodal capabilities. Anticipated features like being able to upload images and query specific aspects will add another dimension to AI interaction. Discussing the future also means considering the ethical implications of rapidly advancing technology, a key consideration being how it contributes to Artificial General Intelligence (AGI).  Roberts touched upon the topic of AI’s future by acknowledging its evolving capabilities. He specifically mentioned GPT-4’s understanding of images as a significant forward stride. However, he urged all to be mindful of the ethical implications involved in AI advancement. His emphasis rested on assessing the benefit-risk ratio, particularly concerning the drive towards AGI.

In this blog, we delved into the various aspects of ChatGPT, examining its strengths and limitations. By gaining a closer look at ChatGPT, we have acquired the knowledge and understanding necessary to harness its potential effectively. Armed with this information, we can now navigate the complexities of AI development with greater confidence and expertise. Join us tomorrow where we consider ethical implications of ChatGPT.

For more information on Larry Roberts, check out Red Hat Media.

Categories
31 Days to More Effective Compliance Programs

One Month to Better Reporting and Investigations – Internal Reporting System Best Practices

What are some best practices regarding an internal reporting system? The 2012 FCPA Guidance stated, “An effective compliance program should include a mechanism for an organization’s employees and others to report suspected or actual misconduct or violations of the company’s policies on a confidential basis and without fear of retaliation.” The 2019 Guidance further refined this basic requirement for a hotline with inquiries into the effectiveness of your corporate hotline, asking, “Effectiveness of the Reporting Mechanism – Does the company have an anonymous reporting mechanism, and, if not, why not?  How is the reporting mechanism publicized to the company’s employees?  Has it been used?  How has the company assessed the seriousness of the allegations it received?  Has the compliance function had full access to reporting and investigative information?” In this podcast, we detail some of the key best practices.

Three key takeaways:

  1. Get the word out to your employees about your company hotline through a variety of mediums and platforms.
  2. Train your employees on the use of the hotline.
  3. Use data from your hotline to continually update and improve your compliance program.
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Adventures in Compliance

Adventures in Compliance – Leadership Lessons from The Red-Headed League

Welcome to a review of all the Sherlock Holmes stories which are collected in the work, “The Adventures of Sherlock Holmes.” The appeared in the Strand Magazine from July 1891 to June 1892. Over the 12 episodes, I will be reviewing each story and mine them for leadership, compliance and ethical lessons. “The Red-Headed League” was published in Strand Magazine in July 1891.

Summary

The story revolves around a peculiar organization called the Red-Headed League, which captivates the attention of Holmes and his assistant, Dr. John Watson.Jabez Wilson, a red-headed pawnbroker, seeks the help of Holmes after his temporary job with the Red-Headed League abruptly ends. Wilson had been enticed by an advertisement offering well-paid work exclusively to red-headed men. Curious about the strange circumstances, Holmes agrees to investigate.

Upon examining the case, Holmes discovers that the Red-Headed League is a clever ruse devised by a criminal mastermind named John Clay. Clay, aided by his accomplice, Vincent Spaulding, a disguised assistant at Wilson’s pawnshop, had lured Wilson away from his shop to create a distraction.

Meanwhile, Clay planned to tunnel into the bank vault located next to the pawnshop to carry out a major robbery. However, Holmes foils the plan just in time, capturing Clay and preventing the theft. Holmes reveals the intricate details behind the crime and the motives of the criminals.

“The Red-Headed League” showcases Holmes’ exceptional deductive reasoning and his ability to solve seemingly complex mysteries by observing small details. The story also highlights the cleverness and audacity of criminals who employ elaborate schemes to carry out their illegal activities.

Leadership Lessons

1.         Pay attention to details: In the story, Sherlock Holmes was able to solve the case by paying close attention to small details, such as the unusual requirement of red hair for the members of the Red-Headed League. Leaders should also be detail-oriented and not overlook anything that seems insignificant, as it may hold valuable information.

2.         Be skeptical: Holmes was skeptical of the League from the start and investigated further, even when others didn’t see any reason to be concerned. Leaders should also be skeptical of seemingly too good to be true opportunities and should do their due diligence to verify their legitimacy.

3.         Think outside the box: Holmes used his unique and innovative thinking to solve the case and uncover the true motives of the criminals behind the League. Leaders should also encourage creative thinking and be open to new ideas and approaches to problem-solving.

4.         Work with a team: Holmes worked with Dr. John Watson to solve the case, and their teamwork allowed them to uncover the truth faster. Leaders should also value the importance of teamwork and collaboration and should foster a positive and supportive working environment.

5.         Trust your instincts: Holmes trusted his instincts and followed his gut feelings, even when the evidence didn’t seem to support his conclusions. Leaders should also trust their instincts and be confident in their decisions, if they are based on sound reasoning and evidence.

Resources

The New Annotated Sherlock Holmes

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Compliance and AI

Mastering ChatGPT: Part 1 – From AI Language Models to ChatGPT

Welcome to a special five part podcast series on mastering ChatGPT. My special guest throughout this journey is Larry Roberts, an accomplished professional with over 25 years of multifaceted experience. Having initiated his career in the corporate training sphere, he exhibited a remarkable shift to IT, contributing greatly as a Business Intelligence Analyst. His proficiency lies in harnessing predictive analytics for inventory and sales projections, which led him to tap into the realm of AI. In 2021, Larry chose to cozy up with podcasting and content creation. His tryst with ChatGPT began in November the same year and he has been fully engrossed with it since then. His insights into data models, large language models, and his overall passion for AI are certain to illuminate any forum. In this Episode 1, we look at AI language models up to ChatGPT.

In the era of digital transformation, educational practices are undergoing significant changes, not least due to tools like ChatGPT. This AI model has the potential to revolutionize research and knowledge acquisition, making these processes more efficient and engaging. For AI enthusiasts and developers, grasping the practical application of ChatGPT in education could provide a fresh perspective on AI integration, fostering growth in their personal and professional endeavors. Harnessing the power of ChatGPT is more than just an exploration of technological advancements—it is a step towards reshaping the future of education.

In this episode, you will be able to:

·      Explore the fascinating world of Artificial Intelligence advancements and their far-reaching consequences.

·      Ascertain the transformative role of open-source AI applications and APIs in the tech universe.

·      Appreciate the synergy between collaboration and innovation in catalyzing AI development.

·      Grasp the ethical concerns enveloping AI usage and the corrective measures needed.

·      Unearth the exciting future prospects of AI featuring Chat GPT, Ethical AI, and their conscientious application.

Key Highlights

·      Chat GPT Architecture

·      Text Generation

·      Chat GPT as a Writing Assistant

·      Chat GPT in Education and Communication

·      Future of Chat GPT

·      The Future of AI Development

Resources

Larry Roberts

Larry Roberts on LinkedIn

Red Hat Media        

Tom Fox

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FCPA Compliance Report

FCPA Compliance Report: Jen Hoar – Uncovering Executive Risk: Corporate Intelligence

Welcome to the award-winning FCPA Compliance Report, the longest-running podcast in compliance. In this episode, Tom welcomes Jen Hoar, a corporate intelligence specialist to the podcast to discuss the use of corporate intelligence as a part of a risk management strategy, this podcast episode explored the importance of conducting thorough background checks on potential executives. Tom and Jen discussed the need to ask questions to gain a better understanding of the person’s style and how they interact with their team, peers, board, and investors. They also discussed the importance of disclosure and anonymity when conducting such inquiries, as well as the need to conduct independent third-party vetting of an individual’s reputation before investing in them. Finally, they discussed the use of corporate intelligence to shape a client’s relationship with an executive and the need to assess the potential risks of hiring an executive before becoming emotionally, financially, and reputationally invested in the deal. 

Key Highlights

·      Executive Risk

·      Investigating Executives

·      People Show Who They Are

·      Reputation Checking

·      Corporate Intelligence

Resources

Jen Hoar on LinkedIn

Forward Risk

Tom Fox

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