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Sci-Tech

A Pathway To Trusted AI

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Artificial Intelligence (AI) has infiltrated our lives for decades, but since the public launch of ChatGPT showcasing generative AI in 2022, society has faced unprecedented technological evolution. 

With digital technology already a constant part of our lives, AI has the potential to alter the way we live, work, and play – but exponentially faster than conventional computers have. With AI comes staggering possibilities for both advancement and threat.

The AI industry creates unique and dangerous opportunities and challenges. AI can do amazing things humans can’t, but in many situations, referred to as the black box problem, experts cannot explain why particular decisions or sources of information are created. These outcomes can, sometimes, be inaccurate because of flawed data, bad decisions or infamous AI hallucinations. There is little regulation or guidance in software and effectively no regulations or guidelines in AI.

How do researchers find a way to build and deploy valuable, trusted AI when there are so many concerns about the technology’s reliability, accuracy and security?

That was the subject of a recent C.D. Howe Institute conference. In my keynote address, I commented that it all comes down to software. Software is already deeply intertwined in our lives, from health, banking, and communications to transportation and entertainment. Along with its benefits, there is huge potential for the disruption and tampering of societal structures: Power grids, airports, hospital systems, private data, trusted sources of information, and more.  

Consumers might not incur great consequences if a shopping application goes awry, but our transportation, financial or medical transactions demand rock-solid technology.

The good news is that experts have the knowledge and expertise to build reliable, secure, high-quality software, as demonstrated across Class A medical devices, airplanes, surgical robots, and more. The bad news is this is rarely standard practice. 

As a society, we have often tolerated compromised software for the sake of convenience. We trade privacy, security, and reliability for ease of use and corporate profitability. We have come to view software crashes, identity theft, cybersecurity breaches and the spread of misinformation as everyday occurrences. We are so used to these trade-offs with software that most users don’t even realize that reliable, secure solutions are possible.

With the expected potential of AI, creating trusted technology becomes ever more crucial. Allowing unverifiable AI in our frameworks is akin to building skyscrapers on silt. Security and functionality by design trump whack-a-mole retrofitting. Data must be accurate, protected, and used in the way it’s intended.

Striking a balance between security, quality, functionality, and profit is a complex dance. The BlackBerry phone, for example, set a standard for secure, trusted devices. Data was kept private, activities and information were secure, and operations were never hacked. Devices were used and trusted by prime ministers, CEOs and presidents worldwide. The security features it pioneered live on and are widely used in the devices that outcompeted Blackberry. 

Innovators have the know-how and expertise to create quality products. But often the drive for profits takes precedence over painstaking design. In the AI universe, however, where issues of data privacy, inaccuracies, generation of harmful content and exposure of vulnerabilities have far-reaching effects, trust is easily lost.

So, how do we build and maintain trust? Educating end-users and leaders is an excellent place to start. They need to be informed enough to demand better, and corporations need to strike a balance between caution and innovation.

Companies can build trust through a strong adherence to safe software practices, education in AI evolution and adherence to evolving regulations. Governments and corporate leaders can keep abreast of how other organizations and countries are enacting policies that support technological evolution, institute accreditation, and financial incentives that support best practices. Across the globe, countries and regions are already developing strategies and laws to encourage responsible use of AI. 

Recent years have seen the creation of codes of conduct and regulatory initiatives such as:

  • Canada’s Voluntary Code of Conduct on the Responsible Development and Management of Advanced Generative AI Systems, September 2023, signed by AI powerhouses such as the Vector Institute, Mila-Quebec Artificial Intelligence Institute and the Alberta Machine Intelligence Institute;
  • The Bletchley Declaration, Nov. 2023, an international agreement to cooperate on the development of safe AI, has been signed by 28 countries;
  • US President Biden’s 2023 executive order on the safe, secure and trustworthy development and use of AI; and
  • Governing AI for Humanity, UN Advisory Body Report, September 2024.

We have the expertise to build solid foundations for AI. It’s now up to leaders and corporations to ensure that much-needed practices, guidelines, policies and regulations are in place and followed. It is also up to end-users to demand quality and accountability. 

Now is the time to take steps to mitigate AI’s potential perils so we can build the trust that is needed to harness AI’s extraordinary potential. For the Silo, Charles Eagan. Charles Eagan is the former CTO of Blackberry and a technical advisor to AIE Inc.

Sci-Tech

How AI Is Transforming Wine Selection and Curation

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The meeting and event planning industry is experiencing a significant transformation amid an era where the vintage charm of wine meets the cutting-edge sharpness of Artificial Intelligence (AI). This renaissance, characterized by a blend of tradition with technology, is reshaping the essence of event-driven wine selection, moving away from the notion that tech seeks to replace tradition. Instead, it introduces a paradigm of harmonious enhancement, where data-driven precision and the sommelier’s artistry converge, creating a personalized wine journey for every guest’s palate as detailed in the narrative below.

To discuss AI’s impact on the meeting and events industry, I would love to connect you with Angel or Arsalan Vossough, CEO and CTO of BetterAI, develooper of the “VinoVoss” AI Sommelier — a wine search engine and recommendation system revolutionizing the $39B usd/ $53B cad wine sector.

Tech Meets Tannins:
A.I. Transforming Preference-Based Wine Curation for Event Clientele


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The days when the sommelier’s intuition, refined through years of experience and sensory development, solely guided wine selection are evolving. AI, with its vast collection of data and analytical capabilities, steps into the domain as a digital sommelier, marking a critical shift from purely tradition-led approaches. This integration signifies a future where wine recommendations are enhanced by data analytics, achieving a level of personalization and precision once thought impossible.

This shift from traditional expertise to technological innovation in wine selection is reflective of a broader transformation within event planning. AI’s role extends beyond wine selection, revolutionizing aspects from operational logistics to enhancing guest experiences. By leveraging predictive analytics, AI provides planners with deep insights into guest preferences, optimizes inventory management, and significantly cuts waste. This ability to personalize wine lists to the individual tastes of attendees, a feature once reserved for high-end, exclusive gatherings, is now accessible on a larger scale. This transition not only ensures that each wine selection deeply resonates with attendees’ unique preferences but also illustrates the industry’s wider adoption of innovation, prioritizing customization and quality in every aspect of event planning.


The AI-Driven Transformation in Wine Selection

Crafting Personalized Wine Journeys

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At the heart of Artificial Intelligence (AI)’s transformative influence within the event planning sphere is its unparalleled ability in providing wine recommendations to align perfectly with individual preferences. This capability is not just about selection but about creating a narrative for each event that is as unique as the guests themselves. By meticulously analyzing vast datasets that include a wide range of variables—from individual guest tastes profile and detailed consumption patterns to the dynamic ups and downs of emerging wine trends—AI crafts wine selections that resonate deeply with the event’s demographic profile. Each recommendation is more than a suggestion; it’s a reflection of the event’s ethos, designed to enhance the dining experience profoundly.

Predictive Analytics: Looking into the Wine Future

Positioned at the forefront of wine selection, AI leverages the power of predictive analytics to cast a visionary gaze into the future of guest expectations and wine trends. This innovative approach advances traditional selection methods by empowering event planners with the ability to not just respond to current tastes but to anticipate and shape them. By using sophisticated algorithms, AI scans through historical data and current market analyses to predict which wines will captivate and delight attendees, opening the way for the introduction of emerging varietals and regions. This strategic approach allows for a level of exploration and discovery that enhances the event experience, inviting guests on a wine journey that is both educational and experiential.

Furthermore, the scope of predictive analytics in wine selection extends beyond individual choices to provide a broader understanding of global shifts in the wine industry. From climate change impacts on vineyard yields to innovations in winemaking techniques, AI’s predictive capabilities offer event planners a curated window into the wine world’s future. This comprehensive approach ensures that wine lists are not just reflective of contemporary tastes but are also forward-thinking, positioning events at the cutting edge of culinary innovation and offering guests a taste of the future, today. In doing so, AI doesn’t simply predict preferences; it helps define them, crafting personalized wine journeys that are as visionary as they are satisfying.

Operational Efficiency Through AI

Streamlining Inventory, Embracing Sustainability

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In the world of event planning, the development of Artificial Intelligence (AI) has catalyzed a revolution in operational efficiency, particularly in the domain of inventory management. By utilizing AI’s advanced predictive capabilities, event planners can now make sure that wine orders are carefully aligned with the anticipated demand of each unique event. This precision in forecasting addresses one of the industry’s major challenges—excess inventory and waste—head-on. AI’s ability to analyze past event data, current consumption trends, and even guests’ preferences means that every bottle ordered has a purpose, significantly reducing the likelihood of surplus stock that contributes to waste.

This strategic reduction in waste not only demonstrates a commitment to environmental sustainability but also translates directly into notable cost savings for event organizers. By purchasing only what is needed, events can operate more leanly and efficiently, passing on the benefits of reduced costs to clients while also contributing positively to the planet. This dual advantage spotlights the pivotal role AI plays in driving forward an event planning paradigm that is both economically viable and ecologically responsible.

Moreover, AI’s analytical insights extend beyond just numbers, offering event planners guidance on selecting wines from vineyards and producers committed to sustainable practices. This approach enables events to not only offer of a curated wine selection that is exceptional and environmentally friendly but also aligns with the growing societal demand for responsible consumption. By aligning wine selections with sustainable practices, AI allows event planners to contribute to a larger narrative of environmental responsibility, setting a new standard for the industry.

Synergy Between AI and Human Expertise

Elevating the Sommelier’s Craft

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The integration of Artificial Intelligence (AI) into the process of wine selection marks not the end but a significant transformation in the role of the sommelier. This evolution is characterized by the seamless merging of AI’s analytical strengths with the sommelier’s deep understanding of wine, culture, and personal guest interactions. AI’s entry into this domain provides sommeliers with a suite of tools that enrich their ability to tailor wine selections to the precise preferences and tastes of attendees. By accessing AI-generated insights into guest preferences, historical consumption data, and predictive trends, sommeliers are empowered to provide wine experiences that are deeply personalized, enhancing the dining experience in a way that was previously unimaginable.

This synergy between AI and human expertise allows sommeliers to transcend traditional boundaries, enabling them to craft compelling narratives around each bottle. These stories, woven from the rich history of the wine’s heritage, its journey from grape to glass, and its unique flavor profile, transform each tasting into a memorable experience. The collaboration between AI and sommeliers ensures that the human element of wine selection—the personal touch that elevates a meal into an experience—remains intact, blending the precision of technology with the irreplaceable warmth and authenticity of human interaction.

Balancing the Algorithmic with the Authentic

In the delicate dance between leveraging AI and maintaining the authenticity of wine service, the art of sommeliership shines brighter than ever. While AI provides a powerful platform for enhancing operational efficiency and delivering exceptional personalization in wine selection, it is the sommelier who infuses these recommendations with life. The sommelier’s role shifts from mere selection to that of a storyteller, an educator, and a bridge between the guest and the intricate world of wines. This balance between the algorithmic accuracy of AI and the authentic, personal touch of the sommelier ensures that wine selection remains an art form—a deeply human endeavor that connects, enchants, and leaves a lasting impression on guests.

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The collaborative relationship between AI and sommeliers doesn’t dilute the human aspect of wine service but rather enhances it, ensuring that each recommendation carries with it a story worth telling. This unique partnership introduces a new chapter in wine selection, one where technology and tradition combine to create experiences that are not only personalized but deeply resonant. The future of wine service, thus, lies in this harmonious blend, where AI opens the door to possibilities that were previously unexplored, and sommeliers guide guests through a journey that is as enriching as it is delightful, marking each event with the signature of unforgettable excellence.

Navigating the Challenges

The Ethical Aspects of Data Use

In the quest to utilize Artificial Intelligence (AI) for enhancing wine selection processes, the ethical handling of data stands as a crucial concern. As AI systems delve deep into personal preferences and consumption patterns to deliver personalized wine recommendations, the need to protect guest privacy increases. This requires not only the implementation of robust data protection measures but also the development of ethical frameworks that govern the use of such data. The goal is to develop a trust-based relationship with guests, reassuring them that their personal information is handled with the highest care and respect. This foundational commitment to privacy and ethical data usage is vital in maintaining the integrity of the digital transformation in wine selection. It’s about ensuring that the technological advancement enhances the guest experience without damaging the trust that is essential to the hospitality industry.

Overcoming Technological and Cultural Barriers

The integration of AI into the traditional art of wine selection introduces a complex set of technological and cultural hurdles. Technological challenges such as system compatibility, data integration, and the seamless operation of AI within existing event planning infrastructures present tangible obstacles. Concurrently, cultural challenges emerge, rooted in skepticism towards the role of technology in an area traditionally dominated by human expertise. Overcoming these barriers necessitates a multifaceted approach:

  • Education is key in demystifying AI and showcasing its value as a tool for enhancing rather than replacing the sommelier’s role.
  • Transparent communication plays a crucial role in addressing concerns and setting realistic expectations about what AI can and cannot do.
  • A focus on AI as an enhancer of human expertise rather than a competitor is essential in shifting perceptions and creating a culture of acceptance.

Together, these strategies form the foundation of a successful transition to AI-enhanced wine curation, bridging the gap between technological innovation and the timeless tradition of personalized wine selection. By addressing these challenges head-on, the event planning industry can fully embrace the benefits of AI, ensuring a future where technology and tradition coexist in harmony to create enriched, personalized wine experiences.

Envisioning the Future

The Next Frontier in Wine Recommendation

As machine learning algorithms become increasingly sophisticated, the future of wine recommendation looks promising. AI’s ability to analyze complex patterns and preferences suggests a horizon where every wine selection is not just personalized but also, anticipating guests’ desires before they even articulate them. This is not just about enhancing the event experience but about reimagining the possibilities of personalization.

The implications of AI in wine curation hint at a broader transformation in event planning. From menu customization to entertainment selection, AI’s potential to personalize every aspect of the event experience is vast. This future, where every detail is personalized to the guest’s tastes, brings a new era of event planning, characterized by a high level of customization and engagement.

The fusion of technology and tradition in wine selection represents more than a shift in methodology; it signifies a fundamental change in how we approach the planning of and execute event planning. As AI continues to weave its narrative through the tapestry of event planning, its promise extends beyond operational efficiency or personalized recommendations. It offers a glimpse into a future where every event is a reflection of the guests’ deepest preferences, a celebration not just of the occasion but of the individuality of each attendee. In this future, tech meets tannins, not as adversaries but as allies, crafting experiences that connect on a personal level, setting a new standard for what events can aspire to be. For the Silo, Arsalan Vossough.


Arsalan Vossough, CTO and Co-Founder of BetterAI, specializes in advanced AI technologies, including Machine Learning and NLP. Solutions include “VinoVoss” (www.VinoVoss.com ), a semantic search and recommendation system creating a virtual wine sommelier. The Silicon Valley-headquartered BetterAI excels in developing cutting-edge AI solutions, and is aptly leveraging leading edge technologies like AI, Machine Learning, Generative AI, Natural Language Processing, and Computer Vision to hone transformative solutions. It’s VinoVoss platform empowers users to make highly-informed decisions about their wine selections, explore new varietals, find new favorites and even rediscover old gems quicker and easier than ever before. With a background in quantitative finance and teaching, Arsalan has a Bachelor’s in Computer Engineering, an MBA from Corvinus University, and a Data Science Master’s from UC Berkeley, graduating with honors. Connect with Arsalan at www.BetterAI.io.