Pioneering Leaders in the AI Age, Shaping a New Technological Era - 2024 (2)

VOL 07 I ISSUE 01 I 2024 Pioneering Leaders in the AI A ge, Shaping a New Technolo gical Era - 2024 Balancing Innova?on and Responsibility Ethical Considera?ons in AI Development AI Technology Shaping the Future of Innova?on Ayisha Piotti Managing Partner RegHorizon Ayisha Piotti Championing Multi-stakeholder Dialogue in Digital Policy

By far, the greatest danger of Artificial Intelligence is that people conclude too early that they By far, the greatest danger of Artificial Intelligence is that people conclude too early that they understand it. understand it. #ciolook.com

AI Leaders Reshaping Modern Tech I n 2024, we stand witness to a transformative era led by visionary pioneers in Artificial Intelligence (AI). These leaders are spearheading innovations that redefine industries, economies, and the very fabric of society itself. Their contributions transcend mere technological advancement; they are architects of a future where AI enhances efficiency, propels scientific discovery, and fosters inclusive growth. innovation. Their leadership not only drives economic competitiveness but also shapes policies that safeguard privacy, mitigate biases, and address ethical dilemmas. In this edition, we bring forth these pioneering leaders whose vision and dedication are shaping a new technological era. Their unwavering commitment to harnessing AI for the collective good inspires us to imagine and build a future where innovation serves humanity, paving the way for a more prosperous and equitable world. At the forefront of this new technological frontier, these leaders navigate complexities with a steadfast commitment to ethical standards and societal impact. They champion transparency in AI deployment, advocating for fairness and accountability in algorithmic decision-making. Their initiatives in healthcare, finance, education, and beyond underscore AI's potential to revolutionize how we live, learn, and interact. As we navigate the challenges and opportunities presented by AI, these pioneers emphasize collaboration across sectors and disciplines. They recognize the imperative of inclusivity in AI development, ensuring diverse perspectives shape Prince Bolton Editor's Note

08 C C O V E R S T O R Y Ayisha Piotti Championing Multi-stakeholder Dialogue in Digital Policy O N T E A R T I C L E S N Balancing Innovation and Responsibility Ethical Considera?ons in AI Development 16 T 20 AI Technology Shaping the Future of Innova?on S

Pioneering Leaders in the AI A ge, Shaping a New Technolo gical Era - 2024 Pooja M Bansal Editor-in-Chief CONTENT FOLLOW US ON Deputy Editor Anish Miller www.facebook.com/ciolook www.twi?er.com/ciolook Managing Editor Prince Bolton WE ARE ALSO AVAILABLE ON DESIGN Visualizer Dave Bates Art & Design Director Davis Mar?n Associate Designer Jameson Carl CONTACT US ON Email info@ciolook.com For Subscrip?on www.ciolook.com SALES Featured Person Company Name Brief Senior Sales Manager Wilson T., Hunter D. Andreas Mattsson Chief AI & Culture Officer and Founder Andreas is the Chief AI & Culture Officer and Founder at Evaxion Biotech A/S, a pioneering TechBio company based upon its AI platform, AI-Immunology™. Customer Success Manager Andersen J. Evaxion Biotech A/S evaxion-biotech.com Copyright © 2024 CIOLOOK, All rights reserved. The content and images used in this magazine should not be reproduced or transmi?ed in any form or by any means, electronic, mechanical, photocopying, recording or otherwise, without prior permission from CIOLOOK. Reprint rights remain solely with CIOLOOK. Sales Execu?vesTim, Smith Ayisha has built teams and led cross-functional projects for over 18 years, spanning diverse geographies ranging from Europe to Asia. TECHNICAL RegHorizon reghorizon.com Ayisha Piotti Managing Partner Technical Head Peter Hayden Technical Consultant Victor Collins Cari Covent Head of Artificial Intelligence and Emerging Technology Cari has a track record of translating business strategies and problems into the development and execution of AI-enabled business solutions. SME-SMO Canadian Tire Corporation cantire.com Research Analyst Eric Smith SEO Execu?veAlen Spencer Himanshu Kalkar SVP, Head of Products - AI and Tech Himanshu brings a strong combination of technology and business mindset, a proven record of success, and the experience of being an effective global organization leader. Fidelity Investments fmr.com sales@ciolook.com July, 2024 Rodolphe has over 20 years of engineering expertise, specializing in leading large complex, global R&D programs, managing cross-functional teams, strategic management, competitive analysis, and positioning. Rodolphe Katra Vice President of Artificial Intelligence Medtronic medtronic.com

COVER STORY Ayisha Piotti Championing Multi-stakeholder Dialogue in Digital Policy Ayisha Piotti Managing Partner RegHorizon From working at the United Nations to a global corporation and then transitioning to academia and social entrepreneurship, she witnessed diverse perspectives across the public and private sectors.

T he digital realm presents a crucial challenge of bridging the gap between technological innovation and regulatory frameworks. This challenge necessitates collaboration among policymakers, tech companies, and society to shape the future of digital governance. Here, the importance of multi-stakeholder dialogue and agile governance becomes evident that fosters innovation, and ensures that the societal impacts of groundbreaking technologies are carefully addressed. stakeholders, Ayisha recognized a shared desire for a prosperous and healthy society. Ayisha believes that AI holds immense potential, but it’s crucial to develop it responsibly to maximize benefits for everyone. She highlights a fundamental truth that most of us, regardless of our roles—employee, employer, parent, teacher, citizen, or lawmaker share—a common aspiration for a world that upholds human rights, safety, and the rule of law, and a thriving global economy that benefits us all. Ayisha believes the key lies in bridging these seemingly opposing views through dialogue. Her passion lies in fostering collaboration, identifying common ground, and building bridges between diverse interests. This desire to connect the dots and find shared goals is what truly drives her. Leading these efforts at the forefront of digital policy is Ayisha Piotti—Managing Partner at RegHorizon. Ayisha’s passion lies in crafting bridges between the diverse needs of policymakers, companies, and the broader society, particularly on emerging issues related to digital technologies. Her recent work has focused extensively on building public policy solutions in the realms of Internet Technologies, Artificial Intelligence, Data Protection and Use, and E-commerce. Need for Responsible AI Development Ayisha believes that AI holds immense potential, but it’s crucial to develop it responsibly to maximize the benefits for everyone. We all share a common goal—leverage AI for the greater good, both now and in the future. To achieve this, building trust is essential and open discussions about the technology’s potential risks and opportunities are necessary. With over 20 years of experience, Ayisha is a strategic alliance builder who has tackled complex regulatory and fiscal challenges by collaborating with a wide array of stakeholders, including politicians, diplomatic missions, international organizations, government ministries, along consumer and business associations. Ayisha is a passionate and decisive leader with a profound understanding of business drivers, adept at identifying trends and opportunities and ensuring execution at local, regional, and global levels. Moreover, the recent explosion of AI discussions sparked by tools like ChatGPT highlights the need for a global conversation on AI governance. While discussions about these risks existed before, ChatGPT brought them to the forefront. OpenAI, by releasing this tool, aimed to trigger a global debate about AI’s benefits and drawbacks, prompting public and policymaker attention. Let’s know more! Diverse Paths to a Shared Future Growing up, Ayisha lived in various parts of the world, encountering children from different backgrounds. This early exposure instilled in her the understanding that people’s perspectives are shaped by their unique experiences and values. Despite these differences, she observed a common thread—underlying similar goals and aspirations, masked by varying viewpoints that could lead to misunderstandings. The key challenge lies in mitigating various risks. These include potential privacy violations, increased bias leading to discrimination, and the spread of misinformation through AI’s ability to generate incorrect responses. Additionally, AI-powered tools like facial recognition raise concerns about mass surveillance. One pressing concern is around economic disruption—AI’s potential to replace many tasks across various sectors could lead to widespread employment disruption even if new jobs are likely to be created in due course. Ayisha’s career further solidified this belief. From working at the United Nations to a global corporation and then transitioning to academia and social entrepreneurship, she witnessed diverse perspectives across the public and private sectors. Despite differences in immediate stated goals for different Proactive measures are essential to navigate this inevitable transition. Regulations and open policy discussions are crucial for managing the change.

Five years later, the Summit has become the largest Swiss platform for AI policy discussions, boasting a global community spanning all continents and partnerships with influential Swiss and global organizations. Ayisha emphasizes the importance of multi-stakeholder dialogue, particularly when clear-cut solutions aren’t readily available. The Power of Precedent Leaders must ensure clear communication about how AI is being used within the organization. The EU took a significant step by introducing the first-ever comprehensive AI regulation in 2024 via the EU AI Act. This regulation aims to mitigate risks associated with high-risk AI applications, limit the use of certain applications altogether, and provide clear guidelines on how to move forward within Europe with AI development and use. The Council of Europe, another rule-making body with 46 member states, is also currently working on a binding convention on AI, similar to their successful conventions on human rights and cybersecurity. This could be a major development in shaping global AI governance. Growing Political Attention and A Multi-Faceted Approach AI Generated Image More recently, there has been a surge in political activity regarding AI governance, with the topic being high on the global agenda at the UN, the G7, and G20 discussions. Ayisha emphasizes that effective policymaking requires collaboration between diverse stakeholders. She believes policymaking goes beyond crafting laws; it’s about societal decision-making, considering trade-offs, and reaching agreements on how AI should be developed and implemented. This is where Ayisha’s organization, RegHorizon, comes in. They promote trust in emerging technologies by advocating for policy solutions, building capacity, and facilitating dialogue between governments, academia, businesses, and civil society. Ayisha also highlights the AI Policy Summit, which she launched in 2019 with the Center for Law and Economics at the prestigious Swiss Federal Institute of Technology (ETH Zurich). Even before the recent surge in AI discussion, she recognized the need for clear rules to address the challenges businesses and consumers might face. A multi-stakeholder dialogue was crucial, given the rapid pace of AI development, says Ayisha. Regulations touching AI are also being developed in different parts of the world. For example, China has implemented selective regulations, including on Generative AI, while the US has seen an Executive Order from President Biden, in addition to individual US states like California and New York enacting binding regulations on specific AI use cases. Importance of Multi-Stakeholder Dialogue Policymaking for AI involves setting boundaries and defining “red lines”—things society deems unacceptable, like human cloning. Similar to how we controlled nuclear technology, responsible AI development requires careful consideration of its applications. Effective policymaking necessitates open discussions where all voices are heard. Historically, decisions made by a select few have not always served the majority’s best interests. The Industrial Revolution serves as a stark reminder of the importance of inclusive discussions. The AI Policy Summit serves three key purposes—raising awareness, facilitating unbiased discussions on AI’s risks and benefits, and exploring policy solutions. Located in Switzerland, a country known for neutrality and innovation, the Summit aims to contribute to the global discussion on AI policy.

A critical challenge in AI governance is finding the right balance between innovation and regulation. Strict regulations could stifle the development of beneficial AI applications, but without safeguards, AI could pose risks. There isn’t a one-size-fits-all solution. Effective policymaking necessitates open discussions where all voices are heard. A global harmonization of AI governance is unlikely due to geopolitical nuances, different legal legacies, and the fact that different societies have different cultural norms and values. Moving forward, international standards organizations like ISO, IEEE, and NIST promise to play a vital role in bridging these gaps by establishing common ground through the creation of global AI standards. Secondly, a proactive approach is essential. Instead of reacting to regulations, leaders should be at the forefront of shaping AI governance. This proactive stance involves incorporating responsible AI practices into long-term business plans and allocating resources to ensure responsible development and implementation. Greater engagement in policy making of a wide set of stakeholders New technologies are not only blurring the lines between the physical, digital and biological worlds, they are disrupting how we live and work and forcing us to think about the impact they will have on our future generations. Thirdly, building trust requires empathy. Leaders need to acknowledge and address employee anxieties surrounding AI. Offering support through reskilling programs and fostering open communication about AI’s role in the workplace are key ways to achieve this. There is a need to ensure broader participation in the policy debate. We need to include smaller companies, underrepresented stakeholders, and developing countries. Finally, trust in AI hinges on transparency. Leaders must ensure clear communication about how AI is being used within the organization. Involving employees in decision-making processes and establishing clear accountability measures are crucial steps towards building trust. Governments need to allocate budgets and create educational environments with the specific goal of increasing awareness and technical understanding of society as a whole with regard to new technologies. By staying abreast of societal trends and taking a proactive stance on AI, businesses can navigate the future landscape more effectively. After all, AI is an inevitable force, and every industry needs to be prepared for its impact. Irrespective of our role in this society, it is critical for us to engage now and provide our input into the policy debate to carve a prosperous future for the next generations! LinkedIn Ayisha Piotti - LinkedIn Leading in the Age of AI LinkedIn RegHorizon - LinkedIn Business leaders today face a critical challenge—keeping pace with societal trends, particularly regarding AI. This awareness is crucial for several reasons. Website: www.reghorizon.com/ Firstly, understanding societal needs is paramount. Leaders need to be in sync with not just their current customer base but also future generations. This means recognizing the evolving needs and concerns of society as a whole.

Balancing Innovation and Responsibility Ethical Considerations inAI Development A rtificial Intelligence (AI) has rapidly become a transformative force across various industries, promising unprecedented capabilities in automation, decision-making, and problem-solving. As AI technologies advance, so do the ethical concerns surrounding their development and deployment. Balancing innovation with ethical responsibility is crucial to ensuring that AI benefits society while minimizing potential risks and harms. Understanding Ethical Challenges in AI AI systems, driven by machine learning algorithms and data analytics, possess the ability to analyze vast amounts of information and make decisions with minimal human intervention. While this capability offers numerous benefits, it also raises ethical dilemmas. One primary concern is bias in AI algorithms, which can perpetuate or exacerbate societal inequalities if not properly addressed. Biased data sets used for training AI models can lead to discriminatory outcomes in areas such as hiring practices, loan approvals, and law enforcement. Another ethical issue is transparency and accountability. AI systems often operate as "black boxes," making it challenging to understand how decisions are made or to hold anyone accountable for errors or biases. This lack of transparency undermines trust and raises questions about fairness and the potential for misuse. Privacy and data security are additional critical considerations. AI systems rely heavily on data collection and analysis, often involving personal or sensitive information. Protecting individuals' privacy and ensuring data security are essential to prevent 16 17 www.ciolook.com | July 202 | 4 www.ciolook.com | July 2024 |

unauthorized access, breaches, or misuse of personal information. measures can help mitigate risks and comply with data protection regulations. Implementing Ethical AI Development Practices 6. Ethical Use and Governance: Establishing comprehensive governance frameworks and mechanisms for the ethical use of AI is crucial. This includes defining guidelines for the responsible deployment of AI technologies, conducting impact assessments to evaluate potential risks and benefits, and ensuring ongoing monitoring and compliance with ethical standards. To address these ethical challenges, developers, researchers, and policymakers must adopt proactive measures throughout the AI development lifecycle. Here are several key practices that can help balance innovation with ethical responsibility: 1. Ethical Guidelines and Standards: Establishing clear ethical guidelines and standards for AI development and deployment is essential. These guidelines should prioritize fairness, transparency, accountability, and the protection of privacy and human rights. International organizations, governments, and industry bodies play a crucial role in developing and promoting these standards. Case Studies and Real-World Implications Several high-profile cases highlight the importance of ethical considerations in AI development. For example, facial recognition technology has faced scrutiny for its potential biases and implications for privacy and civil liberties. Instances where AI systems have inadvertently perpetuated biases or made erroneous decisions underscore the need for rigorous ethical oversight and accountability. 2. Diversity and Inclusion: Promoting diversity in AI teams and ensuring diverse perspectives in decision- making processes can help mitigate bias in AI systems. By involving stakeholders from diverse backgrounds, including ethicists, social scientists, and impacted communities, developers can better identify and address potential biases early in the development process. In response to these challenges, organizations and governments are increasingly prioritizing ethical AI development. For instance, the European Union's AI Act proposes strict regulations to ensure AI systems are developed and used in ways that align with ethical principles and protect fundamental rights. Similarly, industry leaders such as Google and Microsoft have published ethical AI guidelines and invested in research initiatives focused on responsible AI. 3. Fairness and Bias Mitigation: Implementing techniques to detect and mitigate bias in AI algorithms is critical. This includes carefully selecting and preprocessing data to reduce biases, regularly auditing AI systems for fairness, and designing algorithms that are robust and equitable across different demographic groups. Toward Ethical AI Innovation As AI continues to evolve and integrate into more aspects of daily life, addressing ethical considerations remains paramount. Achieving a balance between innovation and responsibility requires collaborative efforts from stakeholders across sectors. By prioritizing ethical AI development practices, fostering transparency, and upholding human values, we can harness the full potential of AI while safeguarding societal well-being. Together, we can navigate the complexities of AI ethics and pave the way for a future where technology serves humanity responsibly and ethically. 4. Transparency and Explainability: Enhancing the transparency and explainability of AI systems is essential for building trust and accountability. Developers should design AI models that provide clear explanations of how decisions are made, enable users to understand the reasoning behind recommendations or actions and allow for independent auditing and validation. Artificial intelligence will empower us all to understand our world more deeply, and to change it more quickly. 5. Privacy and Data Protection: Prioritizing privacy by design principles ensures that AI systems are designed with built-in mechanisms to protect personal data throughout its lifecycle. Implementing robust data anonymization, encryption, and access control 18 www.ciolook.com | July 202 | 4

AI Technology the Shaping ofInnovation Future A rtificial Intelligence (AI) stands as a cornerstone of technological evolution, poised to reshape industries, economies, and societies on a global scale. Its rapid advancement promises transformative impacts across various sectors—from healthcare and finance to education and transportation. Further, we delve into how AI is steering the future of innovation, exploring key applications, societal implications, and the ethical considerations crucial for responsible deployment. The Evolution and Scope of AI Technology AI encompasses a spectrum of technologies designed to mimic human intelligence, enabling machines to learn, reason, and perform tasks traditionally requiring human cognition. From its nascent stages in the 1950s to today's sophisticated machine learning algorithms and neural networks, AI has evolved dramatically. It now powers systems capable of analyzing vast datasets, recognizing patterns, and making complex decisions autonomously. Key Areas of AI Application 1. Healthcare and Medicine: AI is revolutionizing healthcare delivery by enhancing diagnostic accuracy, personalized treatment plans, and drug discovery processes. Machine learning algorithms analyze medical images, predict patient outcomes, and assist in precision medicine tailored to individual genetic profiles. Robotics driven by AI are increasingly employed in surgeries, improving procedural precision and patient recovery times. 2. Finance and Business: In the financial sector, AI algorithms streamline operations through fraud detection, algorithmic trading, and personalized 20 21 www.ciolook.com | July 202 | 4 www.ciolook.com | July 2024 |

Artificial intelligenceis here to stay. Whether you’re for it or against it, it’s going to come. Future Outlook and Challenges customer services. Predictive analytics powered by AI enable businesses to make informed decisions, optimize resource allocation, and respond swiftly to market fluctuations. Looking ahead, the future of AI promises further advancements and integration into every facet of society and industry. Innovations in explainable AI, secure AI systems, and human-AI collaboration hold the potential to drive significant progress. However, challenges such as overcoming technical limitations, addressing regulatory complexities, and preparing the workforce for AI-driven economies remain critical. 3. Education and Learning: AI technologies are transforming education by facilitating personalized learning experiences, adaptive tutoring systems, and immersive learning environments through virtual and augmented reality. AI-driven educational platforms provide tailored feedback and support, enhancing student engagement and learning outcomes. Seizing Opportunities 4. Transportation and Autonomous Systems: AI plays a pivotal role in the development of autonomous vehicles, revolutionizing transportation with capabilities for navigation, obstacle detection, and decision-making in real-time scenarios. Smart transportation systems leverage AI to optimize traffic flow, reduce congestion, and enhance overall safety on roads. Investments in AI research, education, and infrastructure are essential for maximizing the benefits of AI technology while mitigating potential risks. Collaboration between governments, academia, industry leaders, and civil society is crucial for navigating the complex landscape of AI ethics and ensuring responsible innovation. Conclusion 5. Sustainability and Environmental Conservation: AI technologies contribute to environmental sustainability by monitoring and managing natural resources, predicting climate patterns, and optimizing energy consumption. Applications range from precision agriculture and wildlife conservation to pollution monitoring and disaster response. Artificial Intelligence represents a pivotal frontier in technological evolution, offering unprecedented opportunities to address global challenges and drive sustainable development. By harnessing AI's transformative potential responsibly and ethically, societies can unlock new possibilities for innovation, economic growth, and societal well-being. As AI continues to evolve, its impact will shape a future where technology serves humanity, fostering a world where innovation enriches lives and propels progress in ways previously unimaginable. Embracing AI with foresight, collaboration, and ethical stewardship ensures that its benefits are maximized while its risks are mitigated, paving the way for a future where innovation and responsibility go hand in hand. Ethical and Societal Considerations While AI presents unprecedented opportunities for innovation, it also raises ethical concerns and societal implications that must be addressed proactively. Issues such as algorithmic bias, data privacy, job displacement due to automation, and the ethical use of AI in sensitive domains like healthcare and security require careful regulation and ethical frameworks. Mitigating Ethical Risks To mitigate these risks, stakeholders must prioritize ethical principles such as fairness, transparency, accountability, and privacy in AI development and deployment. Initiatives include developing AI ethics guidelines, fostering diverse and inclusive AI teams, implementing robust data protection measures, and ensuring continuous monitoring and auditing of AI systems. 22 www.ciolook.com | July 202 | 4

AI is not a threat, but an incredible opportunity. It's the tool of our century, one that will help us make a better AI is not a threat, but an incredible opportunity. It's the tool of our century, one that will help us make a better world world #ciolook.com

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Pioneering Leaders in the AI Age, Shaping a New Technological Era - 2024 (2)

Pioneering Leaders in the AI Age, Shaping a New Technological Era - 2024 (2)

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