Generative AI successfully governs Boston

New AI tools offer the most hope ever for creating a broadly reformed, citizen-oriented governance.

This Week in Generative AI

This week in Generative AI, brought to you by Newsletter AI (The ChatGPT Newsletter Tool). A summary of Generative AI news from Week no. 47, starting on 26 November 2023.

Generative AI is a toddler — don't let it run your business

Generative AI is a relatively new technology and requires careful oversight to use responsibly. It is important to recognize that this technology is still in its infancy and can be dangerous if misused. Companies should establish safeguards and protocols to ensure that they are using this technology in an ethical and responsible way. Furthermore, businesses should ensure they have the resources to maintain a close eye on the results of their AI applications, as things can change quickly and unexpectedly.

Source: VentureBeat

Generative AI: This is how you can use ChatGPT safely

The use of Generative AI has been gaining traction recently, and its potential to revolutionize many industries is exciting. However, with such powerful technology, safety is a major concern. In this article, we explore how chatGPT, a generative AI technology, is being used with safety in mind. We discuss the measures that have been taken to ensure its safe use, and how they are making it a viable solution for many applications. Additionally, we look at the potential implications of using generative AI and the ethical considerations that must be taken into account. In conclusion, we discuss how chatGPT is a promising technology that could lead to numerous breakthroughs in the industry, while still being used safely and responsibly.

Source: The World Economic Forum

9 Problems with Generative AI, in One Chart

Generative AI is an incredibly powerful technology, but it also presents several challenges that must be addressed in order to ensure its safe and responsible use. One of the biggest is that it can produce extremely convincing results, but without proper oversight it is vulnerable to abuse and exploitation. It can also create ethical dilemmas, since it has the potential to produce results that could be seen as unethical or even illegal. Additionally, it can lead to challenges related to privacy, intellectual property, and censorship, as well as offer potential security risks. Ultimately, effective risk-mitigation strategies are necessary to ensure that the benefits of using generative AI outweigh the potential risks.

Source: Visual Capitalist

Boston experimented with using generative AI for governing. It went surprisingly well

ChatGPT is an AI-powered platform developed by Harvard researchers to help governments identify and solve public policy challenges. The platform, developed by Daniel Garces, Christopher Alleva, and Joseph Goldsmith, uses AI to conduct detailed policy analyses of proposals, allowing decision makers to quickly identify and address reform opportunities. The platform can also be used to evaluate the effectiveness of existing policies and evaluate potential solutions. ChatGPT's AI platform allows governments to form an educated basis for implementing public policy reform, enabling them to make decisions based on objective, reliable data instead of on political preference or personal opinion. Ultimately, the researchers hope this platform will help lead to more informed, efficient, and effective policy reform.

Source: fastcompany?

Radical Transparency: The promise and peril of generative AI

The article "Radical Transparency: The Promise and Peril of Generative AI" raises important questions about the potential implications of artificial intelligence. Despite the benefits of generative AI, there are several challenges to transparency and trust that must be acknowledged. These include the inherent complexity and unpredictability of AI models and the potential for misuse in consumer, corporate, and government contexts. It is essential to seriously consider how to encourage transparency and communication surrounding AI in order to build trust and prevent abuse.

Source: SpaceNews

Introducing Stable Video Diffusion

Stability.ai has announced the Open AI Video Model, a new, revolutionary technology for stabilizing video footage. This technology uses AI to automatically detect and correct video distortions caused by factors such as camera shaking or changing light conditions. This technology greatly simplifies the process of acquiring stable video footage, allowing users to quickly and easily obtain the footage they need. Furthermore, the Open AI Video Model allows users to automatically apply filters to video footage for aesthetic purposes, resulting in high-quality and engaging videos.

Source: Stability AI

What Universal Music Group really thinks about generative AI and copyright law

Universal Music Group (UMG) has been interested in the use of Artificial Intelligence (AI) and Generative AI in creating music and assisting in its distribution. There are some legal implications with the use of Generative AI as it relates to copyright law, and UMG has stated that it is open to considering new approaches that take into account copyright law and the rights of creators. UMG is exploring ways to make sure that creators are compensated fairly for their work while using Generative AI. UMG is also interested in using Generative AI to create unique music experiences for its customers while also creating new revenue streams for creators.

Source: musicbusinessworldwide.com

The World Press Photo Contest excludes AI submissions after backlash

The World Press Photo Contest is making major changes for 2023, introducing the latest in generative AI technology into its rules and guidelines. The AI-powered system is designed to detect any manipulation or alterations to the submitted pictures, and to make sure that all content remains true to its original form. The technology is intended to prevent any falsifications and promote trust and accuracy with the photojournalism competition. The AI technology will also be used to provide feedback to photographers on how to enhance their work, offering advice and guidance on composition, tonal contrast, sharpness, and other aesthetic qualities. The World Press Photo Contest is proving its commitment to upholding the highest standards of excellence within the industry and giving photographers more tools to help them succeed.

Source: The Verge

Data Storytelling with Generative AI

Data Storytelling with Generative AI is an advanced level book from Manning Publications that helps readers explore how to develop and communicate AI-driven stories in the most compelling way possible. It provides step-by-step instructions on creating data stories based on machine learning and generative AI, and how to effectively present them to audiences. It is written by experts from the fields of machine learning and artificial intelligence, and offers practical advice on designing and producing engaging data stories.

Source: Manning Publications

64% of workers have passed off generative AI work as their own

This article suggests that a large number of workers have taken credit for work created by generative AI. This is a concerning observation, as it indicates that people are not only taking advantage of the new technology, but also that they are not properly acknowledging it when they do. As AI advances and more tools become available, it will be important for employers and employees to remain aware of proper credit-giving protocols to promote accuracy and honesty while using advanced technology.

Source: ZDNET

AI in HR Isn't New. Focus On Generative AI, Specifically

This article highlights the importance of generative AI specifically in HR. It explains how this technology can be used to automate and improve recruitment, training, and retention processes, as well as improve employee engagement. Generative AI can also be used to uncover hidden patterns in data and to improve decision-making. The article emphasizes that AI is not a "set it and forget it" technology, but requires ongoing and thoughtful oversight and understanding to be effectively utilized in HR.

Source: ADP

Amazon's new “AI Ready” courses get students into generative AI on AWS

Amazon has recently announced they are offering free certification courses on its popular cloud-computing platform, Amazon Web Services (AWS). The courses are designed to provide guidance and help users create applications with Generative AI (GAI), an AI technology that can generate data and insights from complex datasets. The courses, which are open to anyone, consist of video tutorials, labs, quizzes, and other resources to help users develop skills with GAI. Additionally, AWS also provides certification exams to assess users' competency in using their services. With this initiative, Amazon seeks to expand its presence among highly-skilled professionals and enable them to use its powerful GAI technologies in order to gain competitive advantages.

Source: The Verge

Generative AI will be 'transformative': Thomson Reuters CEO

• Thomson Reuters is investing over $100 million annually in generative AI to integrate it into their products, leverage partnerships, and educate their workforce.
• CEO Steve Hasker highlights generative AI's potential to transform various professional fields, comparing its impact to technological shifts like the internet and cloud computing.
• AI is expected to automate routine tasks, allowing professionals to focus more on providing value-added advice and services.
• Hasker suggests that while AI won't replace professionals, those who effectively use AI may replace those who don't.
• Thomson Reuters commits to responsible AI application, focusing on unbiased, fact-based information, viewing AI as a strategic investment for growth and customer service amidst regulatory complexities.

Source: YouTube

Brice Prunas: ?Generative AI Raises All Kinds of Questions?

Generative AI is a type of artificial intelligence technology that uses data to generate diverse outcomes. This technology has been used in FinTech to generate new and innovative solutions to solve complex problems. One example is the partnership between French FinTech company Oddo BHF and Microsoft to use generative AI to create new and unique personalized patterns to simulate financial market trends. This partnership is an example of how companies are using AI to develop new methods to identify patterns and make better-informed investment decisions.

Source: finews.com

AI – beyond chatbots and into testing automation

The article "AI Beyond Chatbots and Into Testing Automation" looks into the potential of artificial intelligence (AI) to automate testing processes and how it’s changing the software development landscape. It discusses how AI can identify and help debug issues more quickly and efficiently than manual processes. It also talks about the advantages and challenges of using AI in software testing, and how companies are already utilizing AI in their development and testing processes. The article also highlights the need for further education and understanding of AI in software testing.

Source: ERP Today

71% Of Employers May Be Left Behind In The Generative AI Race

Generative Artificial Intelligence (AI) is rapidly becoming an important tool for companies of all sizes, with the potential to revolutionize businesses and disrupt existing industries. While 71 percent of organizations are adapting and making plans to incorporate this technology into their operations, the remaining 29 percent are at risk of being left behind in the generative AI race. This trend should be a cause of concern for businesses not investing in this technology, as AI is quickly becoming the norm in many industries. Companies that take the necessary steps to implement generative AI will be better equipped to stay competitive and increase their market share.

Source: Forbes

FOX Sports teams with Google Cloud to enhance viewer experience with generative AI

The partnership between Fox Sports and Google Cloud is a strategic move that will allow Fox Sports to tap into Google Cloud's cutting-edge technology to automate sports video search, review, and archiving. This means Fox Sports will utilize Google Cloud's generative AI capabilities which will enable its teams to easily find archives of sports footage with ease. Through this partnership, Fox Sports plans to dramatically improve its search capabilities, giving fans even more access to the sports they love.

Source: foxnews.com

Generative AI makes product management inroads

The article "Generative AI Makes Product Management Inroads" discusses how AI can streamline product management processes. It explains how AI can be used to reduce time and cost spent on research and development. AI can also be used to improve product quality and user experience. Additionally, it explains how AI-powered solutions can automate processes of product management.

Source: Digital Commerce 360

Adobe enters into Indian generative AI space by taking over Rephrase.ai.

Adobe has recently acquired Rephrase AI, an Indian artificial intelligence (AI) company that specializes in natural language understanding (NLU) technologies. The acquisition will help Adobe expand its presence in the Indian generative AI sector. Rephrase AI is a four-year-old startup based out of Gurugram with a team of 42 people specializing in neural networks, NLP, and other natural language technologies. Adobe is now using Rephrase AI’s NLU platform to build on its own AI capabilities for creative applications. The acquisition is expected to help Adobe in furthering its Creative Cloud platform.

Source: Mint

Generative AI Takes on SIEM

Generative AI is becoming increasingly popular as a tool for security monitoring. Generative AI uses machine learning algorithms to generate its own insights from data, which can improve a system's ability to detect and respond to threats. This can provide a paradigm shift in security monitoring, as the system can generate more timely, detailed, and effective insights into threats than a traditional Security Information and Event Management (SIEM) system. Generative AI can also help organizations prioritize which security alerts they should pay attention to, by providing context-driven analysis and focusing on what is most important.

Source: Dark Reading

Generative AI advancements will force companies to think big and move fast

Generative AI is beginning to revolutionize the way business is done, from the way decisions are made to the way products are designed and manufactured. Companies that embrace this technology are driving innovation and pushing the boundaries of what's possible. To stay competitive, companies need to consider how they can harness the potential of generative AI to move quickly and think bigger.

Source: ZDNET

AI Track

The PEARX AI-Track is a platform for individuals and businesses looking to connect with AI and data scientists through collaboration and research. The platform provides access to a global network of AI and data science experts, a library of AI and data science resources, and hands-on project management tools for teams. PEARX also offers access to exclusive events, courses and programs, as well as various AI and data science tools.

Source: Pear VC

Cancer Center Friday Seminar Series: Generative AI's Role in Cancer Research and Healthcare

This event, "Cancer Center Friday Seminar Series: Generative AIs Role in Biomedical Research & Healthcare," explores the use of Generative Artificial Intelligence (AI) in biomedical research and healthcare. It will also discuss more broadly the potential of Generative AI in optimizing and improving our capabilities to discover, diagnose, and treat diseases. The Seminar will start with an introduction to an AI-powered platform hosted at the UCSF-Helen Diller Family Comprehensive Cancer Center. This will be followed by a panel discussion from experts in AI-facilitated research and healthcare practice. Afterwards, there will be a Q&A session as well as a networking opportunity. This event is free and open to the public.

Source: ucsf

NVIDIA Introduces Generative AI Foundry Service on Microsoft Azure for Enterprises

NVIDIA has launched a new AI-driven generative foundry service on Microsoft Azure, allowing enterprises and startups to gain access to real-time data-driven insights to develop their products. With the help of NVIDIA’s deep learning technology, users can quickly and accurately create high-quality data-driven solutions in a secure environment. The service offers a variety of features, including a simple graphical user interface, scalability across multiple cloud providers, and the ability to incorporate data from a range of sources. Additionally, the service includes access to real-time and archived data, as well as training, validation and collaboration capabilities. By leveraging NVIDIA's experience in generative design, users can now create products and solutions that are efficient, cost-effective, and help businesses stay ahead of the competition.

Source: nvidia

How Generative AI Is Transforming Today's And Tomorrow's Software Development Life Cycle.

Generative AI has the potential to revolutionize software development life cycles by automating many of the tedious, manual processes and making it easier to create high-quality code. Generative AI will occur when developers can have AI-based models that are tailored to the specific domain, reducing the need to manually write code through creative reuse of existing algorithms. This technology can allow for faster, more efficient software development cycles while also improving the quality of the software produced.

Source: forbes

Workshop

x12 STEPS TO ACHIEVE ENTERPRISE AI INNOVATION

1. Define AI Vision and Strategy

Responsible Team: Executive Leadership

Task: Establish a clear vision of how AI can enhance the business. Define strategic goals and how AI aligns with the overall business strategy.

2. Conduct a Company-Wide AI Readiness Audit

Responsible Team: Cross-Functional Audit Team (IT, HR, Ops, Finance)

Task: Assess the organization's readiness for AI adoption, including technology infrastructure, workforce skills, data availability, and cultural readiness.

3. Assess Current Capabilities and Needs

Responsible Team: IT Department, Data Science Team

Task: Evaluate the current IT infrastructure, data readiness, and technical capabilities. Identify gaps in technology, skills, and data required for AI implementation.

4. Develop an AI Roadmap

Responsible Team: AI Strategy Team (IT, Data & Business)

Task: Create a detailed roadmap for AI deployment, including timelines, milestones, and resource allocation.

5. Establish a Data Governance Framework

Responsible Team: Data Governance Committee (Data Protection Officer, Legal Team, IT Security)

Task: Develop policies for data quality, privacy, security, and ethical use. Ensure compliance with relevant regulations (GDPR).

6. Develop Knowledge and Information Architecture

Responsible Team: IT Department, Knowledge Management Team

Task: Design and implement a robust knowledge and information architecture for efficient data retrieval and augmented generation, facilitating AI applications.

7. Build or Enhance AI Talent and Skills

Responsible Team: HR Department, Training and Development Teams

Task: Identify skill gaps and develop training programs. Hire new talent where necessary. Foster a culture of continuous learning and innovation.

8. Develop or Acquire AI Technologies

Responsible Team: IT Department, R&D Team

Task: Decide whether to build in-house AI solutions or acquire from external vendors. Develop or integrate AI technologies into existing systems.

9. Pilot AI Projects

Responsible Team: Cross-functional Project Teams (IT, Business & Data)

Task: Implement pilot projects to test AI solutions in controlled environments. Gather feedback and make necessary adjustments.

10. Test AI Systems for Bias and Regulatory Compliance

Responsible Team: Compliance Team, AI Ethics Board

Task: Rigorously test AI systems, particularly Large Language Models, for biases. Ensure compliance with data regulation and emerging AI regulation.

11. Scale and Integrate AI Solutions

Responsible Team: IT Department, Business Units

Task: Based on pilot results, scale and integrate AI solutions across the business. Ensure seamless integration with existing processes and systems.

12. Monitor, Evaluate, and Optimize

Responsible Team: AI Monitoring Team

Task: Continuously monitor AI systems for performance and impact. Use insights to optimize and improve AI solutions.

Featuring:-

2021.AI / Earley Information Science / BRIA AI / C3 AI / Anyscale / expert.ai / Databricks

Gen AI Con

Gen AI Con, as a generative AI conference company, likely specializes in organizing and hosting conferences centered around the rapidly evolving field of generative artificial intelligence. This involves bringing together experts, innovators, and enthusiasts in the field to share knowledge, discuss advancements, and explore the future possibilities of generative AI technologies.

Key aspects of Gen AI Con's operations could include:

• Expert Panels and Keynote Speeches
• Workshops and Demonstrations
• Networking Opportunities
• Industry and Academic Participation
• Exhibitions
• Online and Offline Events
• Focus on Ethical and Societal Impacts
• Inclusivity and Accessibility

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