NOTA BENE | AI × Regulations

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In 2023, several viral fake images, including the Pope in a Balenciaga puffer jacket, Donald Trump being wrestled by cops, and an explosion at the Pentagon, highlighted the ease of spreading misinformation using AI-generated content.

Just recently Google has suspended its image generation feature on Gemini chatbot due to "embarrassing" and "offensive" results, following an attempt to promote diversity. The feature, launched in February to compete with industry leaders, produced controversial images like native Americans and Asians when asked to generate a portrait of the Founding Fathers of America.

With generative AI tools now available for the general public, AI regulations and the responsible use of artificial intelligence technologies are in the public spotlight.

The Federal Trade Commission (FTC) is investigating AI partnerships to determine their impact on the future of AI development. Simultaneously, the Italian Data Protection Authority (DPA) has notified OpenAI that ChatGPT is violating Europe's privacy laws, emphasizing the importance of adherence to regulations.

But at the same time, the EU is looking to enhance its supercomputers to support generative AI startups, showcasing a commitment to fostering innovation in the AI sector while maintaining regulatory compliance. OpenAI has also developed a comprehensive strategy to tackle misinformation, particularly during elections, highlighting the importance of ethical AI practices in sensitive contexts like electoral processes.

Despite these efforts, challenges persist. For example publishers are cautious about integrating their chatbots into OpenAI's GPT Store, indicating lingering concerns within the industry about AI applications and partnerships.

Predictions suggest that new forms of misuse will continue to emerge, with standout examples potentially involving electoral processes.

The theme of elections emerges as a prominent issue globally, underscoring the significance of regulating AI technologies to safeguard democratic processes and mitigate potential risks associated with their misuse.

Efforts to understand, regulate, and ethically deploy AI technologies continue to evolve as stakeholders grapple with the complexities of this rapidly advancing field.

But so far all this early resembles the global efforts to mitigate space debris generation.

One of the primary challenges is accurately tracking the vast amount of space debris in orbit. Predicting potential collisions and maneuvering satellites to avoid them requires precise calculations and coordination.

Establishing a framework for accountability and compliance is essential, but this requires collaboration among nations, industry stakeholders, and regulatory bodies to ensure the long-term sustainability of all related activities.

The silver AI lining: One newsfeed startup seeks to filter out an onslaught of AI junk

Otherweb is taking several steps to limit AI junk and improve information quality on its platform:

1. Use of AI models for content evaluation: Otherweb employs relatively small AI models to extract summaries of news articles and provide users with a "nutrition label" displaying metrics such as "article tone," "language complexity," and data on the number and diversity of sources used. This helps in assessing the quality and credibility of the information presented.

2. Transparent data processing: The datasets used by Otherweb are sometimes annotated by academics, and the company ensures transparency by making these datasets public. By involving academics in the annotation process and making the data publicly available, Otherweb aims to enhance accountability and trust in the information provided to users.

3. Implementation of a user-friendly interface: Otherweb's app features a user interface that incorporates a swiping system similar to dating apps. Additionally, the platform utilizes a governing algorithm, the specifics of which have not been disclosed publicly, but Fink described it as "embarrassingly simple." This user-friendly interface and algorithmic approach aim to streamline the user experience and help users easily navigate through curated content while avoiding AI-generated junk and spam.

By integrating these key strategies, Otherweb strives to combat AI-generated junk content, promote information quality, and offer users a more curated and trustworthy news consumption experience. ??

The rapid integration of Internet of Things (IoT) and AI into entertainment & sports is steadily changing fan engagement.

According to SVG, the industry is evolving towards a more dynamic, interactive, and audience-centric paradigm, where AI and streaming technologies take centre stage, immersing consumers in collaborative and personalised experiences.

This technology is just in its initial stages, but here are some examples how AI could be used to enhance fans' engagement:

1. Personalized Fan Experiences: AI can analyze fan preferences, behaviors, and interactions in real-time to provide personalized content recommendations, offers, and experiences.

For example, AI-powered recommendation engines can suggest relevant sports content, merchandise, or events based on individual fan preferences, increasing engagement and satisfaction.

2. Real-time Interactive Experiences: By leveraging IoT devices and AI algorithms, sports teams and event organizers can create interactive experiences for fans during live events.

For instance, fans could use IoT-connected devices to vote on game outcomes, participate in polls, or even influence in-game decisions, enhancing their engagement and sense of involvement.

3. Virtual Training and Simulation: AI-powered training apps can provide fans with the opportunity to train like their favorite athletes, improving skills, and tracking progress in a personalized and interactive way.

These virtual training programs can analyze performance data, provide feedback, and create customized training plans tailored to individual goals and capabilities, enhancing fan engagement and motivation.

4. Immersive Viewing Experiences: AI and streaming technologies can enhance the viewing experience for fans by providing immersive and interactive features.

For example, AI algorithms can generate real-time statistics, player insights, and interactive graphics during live broadcasts, enriching the viewing experience and keeping fans engaged throughout the game.

5. Social Media Engagement: AI can analyze social media data to understand fan sentiment, trends, and preferences, allowing sports teams and organizations to tailor their social media content and engagement strategies accordingly.

By leveraging AI-powered chatbots, personalized messaging, and targeted campaigns, teams can increase fan interaction, loyalty, and brand advocacy in the digital space.

AI algorithms could play a crucial role in analysing players’ physical states, enabling personalised training programs and injury prevention, contributing to the development of advanced sports equipment, including smart wearables and innovative materials, enhancing player performance and safety.

As reported by Forbes, fans are increasingly interested in this real time information fostering an even deeper relationship between athlete and fan.

Voice Search Optimization × AI powered assistance

The rise of voice assistants like Siri, Alexa, and Google Assistant has changed the way we interact with technology.

Just resently, during a CES demo featuring an in-car AI developed by TomTom (a Dutch digital mapping company), the AI chatbot displayed a broad knowledge base, providing information on park histories, vehicle maintenance tips like oil checks, and locating restaurants near EV charging stations. However, it fell short in identifying hotels between major cities, regardless of the phrasing used for the queries.?

This highlights that while the integration of large language models (LLMs) into vehicular systems holds potential for a comprehensive assistant and navigation tool, the technology is still in its early stages and struggles with certain complex tasks.

Optimizing for voice search is crucial as the demand for voice-activated technologies increases. This involves tailoring content to the more conversational, question-based format of voice queries.

Example: For a local bakery, using phrases like "best birthday cakes near me" or "custom cake orders in [City]" within content, coupled with a mobile-friendly website and accurate local business information, can help it appear prominently in voice search results.

There are several steps businesses can take to optimize for voice search using AI

1. Topical Authority

Establishing topical authority involves crafting a comprehensive content marketing strategy that showcases expertise within a specific niche across various online platforms. By delving deeply into the subject matter, offering unique perspectives, and consistently producing insightful content, you can attract search traffic and solidify the brand's reputation as an industry expert.?

Meanwhile, optimizing click-through rates (CTR) necessitates a combination of psychological understanding and marketing skills to create compelling titles and meta descriptions that resonate with users' search intentions. By incorporating engaging language, relevant keywords, and addressing user queries directly, the attractiveness of search listings can be significantly enhanced.?

Additionally, internal linking plays a vital role in creating a cohesive user experience by interconnecting different sections of a website and engaging visitors through a well-thought-out narrative that extends their interaction with the site.

2. Schema Markup

Implementing schema markup provides search engines with a detailed blueprint of your content’s structure and significance. This sophisticated SEO method involves embedding specific code on your website, which clarifies the context and nuances of your pages for search engines. This enhanced understanding can result in improved search results features, such as rich snippets and knowledge graphs, significantly boosting your content’s visibility and attractiveness in search results.?

3. Local SEO

Many voice searches are local. Phrases like “near me” or “in Miami” are common. Ensure your business information is up-to-date and easily accessible for AI to deliver accurate results. In addition to local SEO, another tip for optimizing for voice search is to focus on conversational language. Voice searches tend to be more conversational in nature, so tailoring your content to match natural language queries can improve your chances of appearing in voice search results.

Keep in mind that most voice searches are conducted via mobile devices. So don’t skimp out on mobile optimization.

As a first time parent, having access to medical advice is crucial - for my baby's wellbeing and my mental health.

Healee is patient-centric and provider-centric, making it easy to use on both sides. Founded in 2017, the innovative healthcare app is designed to connect patients with doctors for online consultations, prescription management, and medical advice in a convenient and efficient way without the need for in-person visits.

CEO Plamen Petrov shares that alleviating the healthcare’s looming staff shortages and sub-optimal distribution of care is a key priority for the platform. The team is working on adding Artificial Intelligence (AI) accelerators, and more personalized Value-Based Care (VBC) solutions.

The inefficiencies of the healthcare system can’t be cured by adding more staff – we need to get creative with using data and technology to be able to do more with less, faster, better and easier. And in particular – building and deploying “hybrid“ solutions that bring the optimal balance of humans + technology.

Secret of success

Gradual product development and definition, taking market feedback one step at a time with an agile MVP (minimum viable product) approach, but also having a team of professionals with first-hand experience in the industry you are trying to imimprove.

That's all. ??