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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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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.

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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        

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Daily Compliance News

Daily Compliance News – June 23, 2023 – The Deleted Messages Edition

Welcome to the Daily Compliance News. Each day, Tom Fox, the Voice of Compliance brings to you compliance related stories to start your day. Sit back, enjoy a cup of morning coffee and listen in 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.

  • Microsoft/Activision merger hearing to begin. (WSJ)
  • Judge severely spanks lawyer for using ChatGPT for Motion. (WSJ)
  • JPMorgan to pay $4MM for deleted messages. (WSJ)
  • Twitter shows strong willingness to comply with digital content laws. (WSJ)
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2 Gurus Talk Compliance

2 Gurus Talk Compliance – Once A Con, Always A Con

What happens when two top compliance commentators get together? They talk compliance of course. Join Tom Fox and Kristy Grant-Hart in their podcast, 2 Gurus Talk Compliance, as they dive into hot compliance topics. In this episode, they cover the Elizabeth Holmes goes to prison, the current office imbroglios, a record whistleblower award, the perils of using ChatGPT, cyber breach reporting, Gartner and trust and lightening and compliance. With their unique insights and engaging storytelling, this podcast is a must-listen for anyone in the compliance field. Don’t miss the latest episode of 2 Gurus Talk Compliance and stay ahead of the curve!

Highlights Include

·      Racial Justice at the Board

·      Gartner FCPA enforcement action

·      Cyber Incident Reporting

·      AI and Corporate Governance

·      Once a con, always a con

·      Record whistleblower award

·      WFH, RTW and Hybrid-Work

·      CCO Comp

·      Using ChatGPT

·      Penalties low, benefits high

 Resources 

  1. Racial Justice Initiative
  2. Gartner FCPA enforcement action
  3. FSB Report on Cyber Incident Reporting
  4. AI and Corporate Governance
  5. What the Hell Happened Here?.
  6. Record $279 Million Whistleblower Award
  7. Thank Goodness We Didn’t Get Struck by Lightening
  8. 3 Tips for Adapting to the Post-Pandemic Culture Shock at Work
  9. CCO Compensation Up 8%
  10. Here’s What Happens when Your Lawyer Uses ChatGPT

Connect with Kristy Grant-Hart on LinkedIn

Spark Consulting

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Uncategorized

Farewell to Jim Brown: Compliance and the Regulation of AI

Jim Brown died last week. Although I just saw Brown at the end of his career and at the start of my NFL fandom, he was the best player I ever saw. He is certainly the greatest running back of all-time, even if others have exceeded his yards gained the hard way, on the ground. A multi-sport All-American at Syracuse University, in both football and lacrosse, (and in the HOF for both sports) Brown played for the Cleveland Browns under legendary coach, Paul Brown. According to his New York Times (NYT) obituary, “Brown was voted football’s greatest player of the 20th century by a six-member panel of experts assembled by The Associated Press in 1999. A panel of 85 experts selected by NFL Films in 2010 placed him No. 2 all time behind the wide receiver Jerry Rice of the San Francisco 49ers.” The legendary New York Giants linebacker Sam Huff said of Brown, ““All you can do is grab, hold, hang on and wait for help.”

Brown was equally famous for his life after football where he was an action movie star, most notably (for me) in The Dirty Dozen. More importantly he was a voice of social conscience as well. According to the NYT, “he founded the Negro Industrial and Economic Union (later known as the Black Economic Union) as a vehicle to create jobs. It facilitated loans to Black businessmen in poor areas — what he called Green Power — reflecting his long-held belief that economic self-sufficiency held more promise than mass protests.” He later founded “the Amer-I-Can Foundation to teach basic life skills to gang members and prisoners, mainly in California, and steer them away from violence. The foundation expanded nationally and remains active.”

But I will always remember the highlights of the greatest running back ever; breaking tackles and outrunning all defenders to daylight and the end zone.

The Call For Regulation

Brown’s social advocacy informs today’s post about the coming regulation of AI. Last week, we were all treated to the spectacle (yet again) of another tech entrepreneur testifying before Congress, asking them to do their job which they seem to be incapable of doing any longer—passing legislation. Writing the Harvard Business Review, in an article entitled “Who Is Going to Regulate AI? Blair Levin and Larry Downes noted that “OpenAI chief executive Sam Altman said it was time for regulators to start setting limits on powerful AI systems.” They then quoted from his testimony for the following “As this technology advances we understand that people are anxious about how it could change the way we live. We are too…If this technology goes wrong, it can go quite wrong, [with] significant harm to the world.” Altman agreed with lawmakers that government oversight will be critical to mitigating the risks.

 Who Will Regulate AI

There is no shortage of potential government actors who might step in to regulate AI. As the authors note, “First, there’s Congress, where Senate Majority Leader Chuck Schumer is calling for preemptive legislation to establish regulatory “guardrails” on AI products and services. The guardrails focus on user transparency, government reporting, and “aligning these systems with American values and ensuring that AI developers deliver on their promise to create a better world.” The vagueness of this proposal, however, isn’t promising.”

Next is the Biden Administration, which created a White House blueprint for an AI Bill of Rights, last October. Here the authors said, “The blueprint is similarly general, calling for developers to ensure “safe and effective” systems that don’t discriminate or violate expectations of privacy and that explain when a user is engaging with an automated system and offer human “fallbacks” for users who request them.”

Next at the Department of Commerce, the National Telecommunications and Information Administration (NTIA) has begun to explore the “usefulness of audits and certifications for AI systems. The agency has requested comments on dozens of questions about accountability for AI systems, including whether, when, how, and by whom new applications should be assessed, certified, or audited, and what kind of criteria to include in these reviews.”

Federal Trade Commission (FTC) Chair Lina Kahn is looking at AI regulation through an anti-competitive and consumer protection lens “in the direction of the new technology. Kahn speculates that AI could exacerbate existing problems in tech, including “collusion, monopolization, mergers, price discrimination, and unfair methods of competition.” Generative AI, the FTC chair also believes, “risks turbocharging fraud” with its ability to create false but convincing content.” Khan has also express concern of the inherent bias in AI and a discriminatory impact.

Finally, the Department of Commerce is considering creating “a sustainable certification process, or the political clout to get the tech industry to support NTIA’s efforts. Further, as the Department acknowledges, its inquiry is only part of the larger White House effort to create a trusted environment for AI services, an objective that would require previously unseen levels of coordination and cooperation across numerous government silos.”

What Should Compliance Do?

I certainly believe there will be  combination of government action, as the authors note in the “legislative, regulatory, or judicial’ sphere will be a “balancing act of maximizing the value of AI while minimizing its potential harm to the economy or society more broadly.” But as is well known, law advances incrementally while technology evolves exponentially. I agree with the authors that compliance professionals “should take their cue from the Department of Commerce’s ongoing initiative, and start to develop nongovernmental regulators, audits, and certification processes that identify and provide market incentives to purchase ethical and trusted AI products and services, making clear which applications are and are not reliable.”

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Daily Compliance News

May 1, 2023 – The Corporate Rot 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:

  • Bringing new tech solutions to compliance. (WSJ)
  • ChatGPT is back in Italy. (WSJ)
  • US to allow auction of CITGO. (Reuters)
  • Spotting corporate rot. (FT)

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From the Editor's Desk

From the Editor’s Desk – April and May, 2023 in Compliance Week

Welcome to From the Editor’s Desk, a podcast where co-hosts Tom Fox and Kyle Brasseur, EIC at Compliance Week, unpack some of the top stories which have appeared in Compliance Week over the past month, look at top compliance stories upcoming for the next month, talk some sports and generally try to solve the world’s problems.

Highlights Include:

·      The cadence of compliance stories

·      ChatGPT and AI in compliance

·      Reporting and Editing compliance stories

·      Case studies in Compliance Week

·      The surprises of the NBA playoffs in 2023

·      Pitch clock in baseball

·      The Boston Bruins’ quest for all-time greatness

Kyle relates some of the upcoming Compliance Week 2023 Conference highlights from May 15-17 in Washington, DC. Listeners of this podcast will receive a discount of $200 by using code TF200 on the link below.

Resources

Compliance Week 2023 information and registration here

Kyle Brasseur on LinkedIn

Compliance Week

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Compliance and AI

Compliance and AI: Episode 1 – Ant Stevens on Incorporating AI into Your Compliance Program

What is the role of Artificial Intelligence in compliance? What about Machine Learning? Are you using ChatGPT? We will explore these three questions in this exciting new podcast, Compliance, and AI. Hosted by Tom Fox, the award-winning Voice of Compliance, this podcast will look at how AI will impact compliance programs into the next decade and beyond. If you want to find out why the future is now, join Tom Fox on this journey to the frontiers of compliance.

In this inaugural episode of Compliance and AI, Tom Fox interviews the CEO and President of 6Clicks, Ant Stevens, who explains that generative AI refers to systems that transform inputs into outputs and generate something obvious, like an image, video, or text. The AI works based on an underlying corpus, a kind of brain or reference point. Generative AI outputs are generated based on a corpus of information, making them an effective tool for companies to improve risk and compliance management.

They discuss the latest version of Generative AI, GPT 3, which allows companies to generate more text, images, and videos. The conversation also delves into the benefits of AI in content creation and policy overview creation. The podcast emphasizes the importance of prompt engineering and human input in decision-making. Stevens shares his belief that we are only scratching the surface of what we can do with artificial intelligence and encourages companies to embrace its potential. Get ready to be empowered and leap into the exciting world of Compliance and AI.

Key Insights

1. Incorporate generative AI into your risk and compliance management systems. Generative AI can help automate the compliance process and reduce human error in tracking and managing compliance requirements.

2. Train employees on how to use generative AI platforms. Employees trained on generative AI platforms can better understand their compliance requirements and reduce the risk of violations.

3. Stay current with the latest developments in generative AI technology. Companies that keep up with the latest advancements in generative AI technology can better understand how it can impact their business operations and take advantage of new opportunities.

If you’re interested in learning more about the potential applications of generative AI in risk and compliance, you should listen to the podcast. Stevens shares his insights into how 6clicks uses generative AI to help companies manage risk and compliance requirements more effectively.

Key Quote

“Generative AI refers to systems that effectively transform inputs into outputs, and the outputs generate something obvious, whether it’s an image or video, a slap of text, something like that.”

Resources

Ant Stevens on LinkedIn

6Clicks

Tom Fox

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Daily Compliance News

April 4, 2023 – The Is FL Anti-Business 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 of Daily Compliance News:

·       Disney President says Florida under DeSantis is ‘anti-business.’ (WSJ)

·       Venezuela detains 44 more in a corruption probe. (Al Jazeera)

·       EY banned in Germany over Wirecard. (FT)

·       Italians wave good-bye to ChatGPT. (ComplianceWeek)