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WELCOME BEYOND THE CODE: Decoding The Impact and Potential of ARTIFICIAL INTELLIGENCE

Opening Remarks Leona Barr DavenportPresident & CEO Atlanta Business League

MEET THE PANEL MODERATOR Roosevelt GilesCEO Endpoint Ventures

MEET THE PANELISTS Tenisha Griggs Founder & CEO 37X Digital Marketing Agency Irving Roman Jr. Digital Strategy Senior Manager Ernst & YoungPatrick AlexanderCEO Balambico

TODAY’S TOPICS  Definition of AI. Types of AI. How will AI impact your business? How will AI impact your customers? How can you keep your business relevant, given the emergence of AI? Getting Ready: Learning AI Platforms. What are the regulations involving AI?

AI is unquestionably the “internet” moment of our time

AI’s Human Toll • Executives estimate that up to 40% of their workforce may need to reskill as a result of implementing AI or automation over the next three years. • This is largely because humansneed diverse skills — from technical proficiency to human understanding and adaptability in their thinking — to work most effectively alongside AI.

What is artificial intelligence?

When people think about artificial intelligence, what often comes to mind is The Terminator movies.

AI Next Generation • AI is the next frontier in a long line of disruptive technologies.• To truly realize the promise of AI, businesses must not only adopt it but also operationalize it.• The biggest threat to business adoption of AI is not a lack of desire but confidence.• Companies also have reservations about data privacy, misinformation, and intellectual property.• Every new technology has a hype phase before its total value is realized.

Questions About AI• How Does it Work?• What is good AI?• What should it never DO?• What Happens when the algorithm goes wrong? • How will AI change Work ?• How do we address the fear? • How should companies go about creating policies and procedures regarding data privacy and security? • What are the processes for governing the supply chain? • Does your business have adequate cybersecurity insurance coverage in the event of breaches and acts of employees on customer sites? • How should companies go about creating a privacy impact assessment for high-risk processing activities ?

Questions about AI(cont.)• How can we ensure that AI technologies are developed and deployed responsibly?• What are the potential societal implications of widespread AI adoption, both positive and negative?• How is AI currently being used in various industries?• What are some common misconceptions about AI?• What are some real-world applications of AI across different industries, such as healthcare, finance, and transportation?• How do I as a SMB company stay relevant? • How is AI being used to address specific challenges or improve processes in these industries?• Can you provide examples of AI-powered products or services that have had a significant impact?

AI @ Work

Why are Companies Adopting AI?Reduced CostFaster Execution Reduced ComplexityHyper-Personalized Experience Accelerated Innovation Improved Trust

Fairness Process • Historical bias • Weights• Representation bias • Measurement bias• Aggregation bias• Learning bias• Deployment bias • Facial Recognition bias • Training Data

Failing to operationalize data and AI ethics is a threat!

Legal and Policy Issues 1. Privacy and Data Protection:. Laws such as the General Data Protection Regulation (GDPR) in the EU and the California Consumer Privacy Act (CCPA) in the US impose strict requirements on the collection, use, and sharing of personal data.2. Bias and Discrimination: AI algorithms can inadvertently perpetuate or even exacerbate biases present in training data, leading to discriminatory outcomes. Legal frameworks may need to address issues of algorithmic bias and ensure that AI systems do not discriminate against protected groups.3. Liability and Accountability: Determining liability for harm caused by AI systems can be complex, especially in cases where decision-making is opaque or decentralized. Legal frameworks may need to clarify the responsibilities of AI developers, users, and other stakeholders in ensuring the safety and fairness of AI systems. (Case Law is not available to address this)4. Intellectual Property: Questions of intellectual property , particularly regarding the ownership and protection of AI algorithms, models, and datasets. Legal issues may arise around patenting AI inventions, copyrighting AI-generated content, and protecting trade secrets.5. Regulatory Compliance: AI applications in regulated industries such as healthcare, finance, and transportation may need to comply with specific regulatory requirements. Legal frameworks will be updated to address the unique challenges posed by AI.6. Transparency and Explainability: Increasingly, there is a demand for transparency and explainability in AI decision-making, particularly in critical applications such as healthcare and criminal justice. Legal frameworks may need to require AI developers to provide explanations for their decisions and make AI systems more interpretable to users and regulators. (Auditing will be required)7. Cybersecurity and Safety: Like any system, AI will be vulnerable to cybersecurity threats, including attacks that manipulate or exploit AI algorithms. Legal frameworks may need to address cybersecurity risks associated with AI technologies and establish standards for ensuring the security and safety of AI systems.8. Ethical and Social Impact: AI raises broader ethical and societal concerns, such as job displacement, loss of privacy, and the concentration of power in the hands of a few tech companies. Legal frameworks may need to consider the ethical implications of AI deployment and promote responsible AI development and use.

Justice Oversight • GDPR• EU Digital Operational Resilience ACT(DORA) (effective 2025)• Failure to Stay informed • Lack of a Board Committee with Data Privacy and Security Oversight• Lack of Qualified Staff or Consultants• Failure to safeguard personal data • Failure to Respond to Know Cyber threats• Failing to Conduct Adequate Due Diligence • False Statement • Lack of transparency• Insufficient Oversight of Vendors and Third Parties • Failure to Provide Timely and Adequate Notices • Compliance with law

AI Deployment Options • Try to halt the development of AI until the risks and benefits are fully understood.• Go blazing into the unknown, deploying AI at every turn and dealing with issues as they arise. (legal Bonus)• Or fully embrace AI but take considered steps to limit the risks while unlocking the immediate benefits.• Which option would you choose?

References• Books• Unmasking AI –Joy Builamwini • Ethical Machines – Reid Blackman • Race After Technology – Ruha Benjamin • Trust – Dominique Shelton Leipzip • Web Sources • World Economic Forum- https://www.weforum.org/• MIT - https://news.mit.edu/topic/artificial-intelligence2

Closing Remarks Leona Barr DavenportPresident & CEO Atlanta Business League

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