Presentation from TITAN's participation in a special session on AI Foundation Models and Large Language Models organised by BDVA (Big Data Value Association).
The primary objectives of this workshop, as outlined by BDVA, were to address the growing influence of Large Language Models (LLMs) and Generative AI on the market, policy, and society. Recognizing the importance of these topics for BDVA members, the workshop aimed to leverage the collective resources and knowledge of the community to explore various aspects. These aspects included technical challenges, privacy concerns, ethical considerations, security implications, and the broader impact of these technologies on companies, sectors, individuals, and society. Additionally, the workshop also aimed to focus on "Data-centric AI," a topic of great interest within the community. By bringing together experts and stakeholders, BDVA intended to generate further interest and resources for the topic of Data-centric AI. Following the workshop, the BDVA Board of Directors planned to evaluate and determine how to sustain these discussions within the Association going forward.
During the session, Ramfos presented an in-depth overview of the TITAN solution—an AI-powered intelligent coach designed to combat disinformation. This solution assists users in conducting investigations by providing support for critical thinking through chat interactions and microlessons. It empowers users to make their own informed decisions about the validity of content.
How Generative AI can combat disinformation? TitanEurope1
Despite the availability of sophisticated tools and professional fact-checking services, the average citizen remains weaponless against disinformation campaigns. TITAN leverages AI to create a conversational coach that helps users think through a piece of information, question its validity and come to their own decisions around accuracy and truthfulness. This presentation by Antonis Ramfos from ATC, given at EU Regions Week 2023, outlines TITAN's technological approach to support human capabilities. Subscribe for news/updates at www.titanthinking.eu
Self Service Online Research - online communities for research and insightsStephen Thompson
In this webcast, we Stephen Thompson (EVP, Ramius) and Lenny Murphy (Chief Editor and Principal Consultant, Greenbook):
• Discuss how the online research world is shifting and how that is expected to develop in the near future. This include some (very) early stats from the Greenbook GRIT report for 2014.
• Round up some of the new software tools available for gathering insights under the categories of Surveys / Microsurveys, Crowdsourcing, Analytics, Big Data, Video, Mobile and Online Communities.
• Work through some examples of how Ramius’ new platform, Recollective, is being used by marketing and research professionals to build on-demand insight communities and conduct rapid, qualitative research online.
"Developments in Accessibility of Information" - Access Israel 's 6th Annual ...Ricardo Garcia Bahamonde
Presentation on Digital Transformation trends, the risks of the digital accessibility gap becoming increasingly large and orientations for organizations that want to adopt digital accessibility
Presentation outlining the UnBias project, an EPSRC funded project about transparency of biases in algorithm behaviour, often due to unavoidable implicit choices that had to be made.
This presentation was given at the DASTS16 conference in Aarhus Denmark on June 3rd 2016.
Keynote by Seth Grimes, presented at the Knowledge Extraction from Social Media workshop, November 12, 2012, preceding the International Semantic Web Conference
How Generative AI can combat disinformation? TitanEurope1
Despite the availability of sophisticated tools and professional fact-checking services, the average citizen remains weaponless against disinformation campaigns. TITAN leverages AI to create a conversational coach that helps users think through a piece of information, question its validity and come to their own decisions around accuracy and truthfulness. This presentation by Antonis Ramfos from ATC, given at EU Regions Week 2023, outlines TITAN's technological approach to support human capabilities. Subscribe for news/updates at www.titanthinking.eu
Self Service Online Research - online communities for research and insightsStephen Thompson
In this webcast, we Stephen Thompson (EVP, Ramius) and Lenny Murphy (Chief Editor and Principal Consultant, Greenbook):
• Discuss how the online research world is shifting and how that is expected to develop in the near future. This include some (very) early stats from the Greenbook GRIT report for 2014.
• Round up some of the new software tools available for gathering insights under the categories of Surveys / Microsurveys, Crowdsourcing, Analytics, Big Data, Video, Mobile and Online Communities.
• Work through some examples of how Ramius’ new platform, Recollective, is being used by marketing and research professionals to build on-demand insight communities and conduct rapid, qualitative research online.
"Developments in Accessibility of Information" - Access Israel 's 6th Annual ...Ricardo Garcia Bahamonde
Presentation on Digital Transformation trends, the risks of the digital accessibility gap becoming increasingly large and orientations for organizations that want to adopt digital accessibility
Presentation outlining the UnBias project, an EPSRC funded project about transparency of biases in algorithm behaviour, often due to unavoidable implicit choices that had to be made.
This presentation was given at the DASTS16 conference in Aarhus Denmark on June 3rd 2016.
Keynote by Seth Grimes, presented at the Knowledge Extraction from Social Media workshop, November 12, 2012, preceding the International Semantic Web Conference
The Web and the Collective Intelligence - How to use Collective Intelligence ...Hélio Teixeira
The Web and the Collective intelligence - How to use Collective Intelligence techniques to ensure that your web application can extract valuable data from its usage and deliver that value right back to the users.
Web 2.0 Collective Intelligence - How to use collective intelligence techniqu...Paul Gilbreath
Source: http://www.helioteixeira.org/ How to use Collective Intelligence techniques to ensure that your web application can extract valuable data from its usage and deliver that value right back to the users. (MODULE 1)
The Evidence Hub: Harnessing the Collective Intelligence of Communities to Bu...Anna De Liddo
Presentation to the Large-Scale Idea Management and Deliberation Systems Workshop @
6th International Conference on Communities and Technologies C&T2013
June 29,2013
Munich, Germany
The second of the BDVe series of webinars related to Big Data technologies presents the QROWD project. Elena Simperl (University of Southampton) will provide an overview and technical details on how human interaction and crowdsourcing could help in different steps of the data value chain, from data acquisition to data curation and completion, etc. Examples of how to add human in the loop in the domains of Smart Cities and Smart Transportation will be provided.
The second of the BDVe series of webinars related to Big Data technologies presents the QROWD project. Elena Simperl (University of Southampton) will provide an overview and technical details on how human interaction and crowdsourcing could help in different steps of the data value chain, from data acquisition to data curation and completion, etc. Examples of how to add human in the loop in the domains of Smart Cities and Smart Transportation will be provided.
This is a presentation of research done within the EU Community project and its evaluation, combining reputation management and sentiment analysis techniques for policy modelling
The Digital Organisation
Michael Adams,
Auckland Theatre Company
In this conversation Auckland Theatre Company’s Michael Adams, will talk about the strategy the company is developing, entitled Bridging the Virtual and Real Worlds, as it prepares to open its new theatre on Auckland’s waterfront as well as positioning itself as a 21st century company. He will discuss their first milestones towards this major digital overhaul including auditing and mapping the current situation and preparing requests for proposals for the underlying business systems that will support greater audience facing goals.
While a project of this kind may appear daunting and the learning curve steep, the key to success is determining the best place to start and breaking the overall project down into manageable parts. You’ll leave this session with tips and skills for your digital project, irrespective of its scale. You’ll also receive:
• Useful tactics for visually representing your digital organisation.
• Tactics for auditing your current situation to reveal the digital areas which are essential to work on in order to realise that goal.
Collective Intelligence and Online Deliberation Platforms for Citizen Engagem...Anna De Liddo
This is the presentation of the keynote I gave to the The "Software Codes of Democracy: Web Platforms for New Politics Workshop, which was held in Milan, Italy 13-15 Sept 2013 http://codicidellademocrazia.partecipate.it/
Abstract
Social media are increasingly used to support online debate and facilitate citizens’ engagement in policy and decision-making. Nevertheless the online dialogue spaces we see on the Web today typically provide flat listings of comments, or threads that can be viewed by ‘subject’ line. These are fundamentally chronological views which offer no insight into the logical structure of the ideas, such as the coherence or evidential basis of an argument. This hampers both quality of citizens’ participation and effective assessment of the state of the debate.
Within the landscape of existing community debate and ideation tools, the talk will introduce a new class of emerging online deliberation platforms – coming from research on Hypermedia, Collective Intelligence and Argumentation – that enable more structured, engaging and transparent online deliberation processes.
The talk will focus on the description of some of these technologies and summarise research studies in which they have been used to effectively support online deliberation in the Education, Healthcare and Public sector.
The talk will conclude proposing reflections and future research on collective intelligence and online deliberation platforms to socially innovate and to re-engage citizens with the democratic process.
Blocked by YouTube - Unseen digital intermediation for social imaginaries in ...University of Sydney
YouTube is one of the most globally utilised online content sharing sites, enabling new commercial enterprise, education opportunities and facilities for vernacular creativity (Burgess, 2006). Its user engagement demonstrates significant capacity to develop online communities, alongside its arguably more popular use as a distribution platform to monetise one’s branded self (Senft, 2013). However, as a subset of Alphabet Incorporated, its access is often restricted by governments of Asian Pacific countries who disagree with the ideology of the business. Despite this, online communities thrive in these countries, bringing into question the sorts of augmentations used by its participants. This article reframes the discussion beyond restrictive regulation to focus on the DIY approach (augmentation) of community building through the use of hidden infrastructures (algorithms). This comparative study of key YouTube channels in several Asia Pacific countries highlights the sorts of techniques that bypass limiting infrastructures to boost online community engagement and growth. Lastly, this article reframes the significance of digital intermediation to highlight the opportunities key agents contribute to strengthening social imaginaries within the Asia Pacific region.
The slide has details on below points:
1. Introduction to Machine Learning
2. What are the challenges in acceptance of Machine Learning in Banks
3. How to overcome the challenges in adoption of Machine Learning in Banks
4. How to find new use cases of Machine Learning
5. Few current interesting use cases of Machine Learning
Please contact me (shekup@gmail.com) or connect with me on LinkedIn (https://www.linkedin.com/in/shekup/) for more explanation on ML and how it may help your business.
The slides are inspired by:
Survey & interviews done by me with Bankers & Technology Professionals
Presentation from Google NEXT 2017
Presentation by DATUM on Youtube
Royal Society Machine Learning
Big Data & Social Analytics Course from MIT & GetSmarter
National Association for Trusted Identities in Cyberspace - Establishing Trus...M2SYS Technology
The digitalization of the world economy has created demand for privacy enhancing identity solutions that support civil liberties and improve security. Running parallel to the need for trusted identities in cyberspace is the need for identities to be interoperable so that individuals can manage multiple credentials and choose which to use for a particular transaction or activity. The demand to establish a more secure identity ecosystem requires solutions to be user friendly and convenient including equitable access to the tools that establish this online identity credential for everyone, not only the affluent.
Learn more about NSTIC’s work to help advance the initiative of establishing a trusted identity in cyberspace, what implications this could have on patient identification in healthcare, why choosing a patient identification platform that is standardized is critical, and more!
Overview of Data and Analytics Essentials and FoundationsNUS-ISS
As companies increasingly integrate data across functions, the boundaries between marketing, sales and operations have been blurring. This allows them to find new opportunities that arise by aligning and integrating the activities of supply and demand to improve commercial effectiveness. Instead of conducting post-hoc analyses that allow them to correct future actions, companies generate and analyze data in near real-time and adjust their operations processes dynamically. Transitioning from static analytics outputs to more dynamic contextualized insights means analytics can be delivered with increased relevance closer to the point of decision.
This talk will cover the analytics journey from descriptive, predictive and prescriptive analytics to derive actionable and timely insights to improve customer experience to drive marketing, salesforce and operations excellence.
Disinformation and AI: Separating fact from fictionTitanEurope1
Presentation by Ana Fernandez from VUB on the challenges presented by disinformation, and how the TITAN project is advancing the state of the art in countering this phenomenon through AI tools. Namely, using a chatbot to help people ask the right question about content to decide if it is true or not. This presentation was given at the European Week of Regions and Cities 2023.
To learn more about TITANs approach and to subscribe for updates visit www.titanthinking.eu
Findings From Co-Creation Workshops on Using AI to Counter Fake NewsTitanEurope1
TITAN (EU R&I project) is dedicated to fighting disinformation, and is doing so through the co-creation of an AI-based engine that encourages citizens’ critical thinking to help them better identify false information online. Whilst AI offers exciting and unprecedented opportunities to deliver social good, the project team recognises it can entail ethical dangers too, from usability and understanding issues, to biases and data quality. To help counter any ethical implications, and enlighten the process of developing a trustworthy, ethically, and societally acceptable AI tool, TITAN has adopted a citizen-centric approach to understand requirements and needs. Citizens from across Europe have been involved in a co-creation process where their values, concerns and requirements were discussed, the results of which will become the foundation for the digital development of TITAN.
The first round of citizen co-creation was conducted during five-hour workshop's with 30 citizens in each session, in 8 different European countries - Denmark, Ireland, Italy, Spain, Lithuania, Belgium, Bulgaria and Slovakia. The co-creation framework created by TITAN partner the not-for-profit Danish Board of Technology consists of tried and tested engagement and co-creation methodologies.
Read more about the techniqies adopted at https://www.titanthinking.eu/post/building-together-insights-from-8-countries-co-creating-the-titan-ai-tool-to-fight-disinformation
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The Web and the Collective intelligence - How to use Collective Intelligence techniques to ensure that your web application can extract valuable data from its usage and deliver that value right back to the users.
Web 2.0 Collective Intelligence - How to use collective intelligence techniqu...Paul Gilbreath
Source: http://www.helioteixeira.org/ How to use Collective Intelligence techniques to ensure that your web application can extract valuable data from its usage and deliver that value right back to the users. (MODULE 1)
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6th International Conference on Communities and Technologies C&T2013
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The second of the BDVe series of webinars related to Big Data technologies presents the QROWD project. Elena Simperl (University of Southampton) will provide an overview and technical details on how human interaction and crowdsourcing could help in different steps of the data value chain, from data acquisition to data curation and completion, etc. Examples of how to add human in the loop in the domains of Smart Cities and Smart Transportation will be provided.
The second of the BDVe series of webinars related to Big Data technologies presents the QROWD project. Elena Simperl (University of Southampton) will provide an overview and technical details on how human interaction and crowdsourcing could help in different steps of the data value chain, from data acquisition to data curation and completion, etc. Examples of how to add human in the loop in the domains of Smart Cities and Smart Transportation will be provided.
This is a presentation of research done within the EU Community project and its evaluation, combining reputation management and sentiment analysis techniques for policy modelling
The Digital Organisation
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Auckland Theatre Company
In this conversation Auckland Theatre Company’s Michael Adams, will talk about the strategy the company is developing, entitled Bridging the Virtual and Real Worlds, as it prepares to open its new theatre on Auckland’s waterfront as well as positioning itself as a 21st century company. He will discuss their first milestones towards this major digital overhaul including auditing and mapping the current situation and preparing requests for proposals for the underlying business systems that will support greater audience facing goals.
While a project of this kind may appear daunting and the learning curve steep, the key to success is determining the best place to start and breaking the overall project down into manageable parts. You’ll leave this session with tips and skills for your digital project, irrespective of its scale. You’ll also receive:
• Useful tactics for visually representing your digital organisation.
• Tactics for auditing your current situation to reveal the digital areas which are essential to work on in order to realise that goal.
Collective Intelligence and Online Deliberation Platforms for Citizen Engagem...Anna De Liddo
This is the presentation of the keynote I gave to the The "Software Codes of Democracy: Web Platforms for New Politics Workshop, which was held in Milan, Italy 13-15 Sept 2013 http://codicidellademocrazia.partecipate.it/
Abstract
Social media are increasingly used to support online debate and facilitate citizens’ engagement in policy and decision-making. Nevertheless the online dialogue spaces we see on the Web today typically provide flat listings of comments, or threads that can be viewed by ‘subject’ line. These are fundamentally chronological views which offer no insight into the logical structure of the ideas, such as the coherence or evidential basis of an argument. This hampers both quality of citizens’ participation and effective assessment of the state of the debate.
Within the landscape of existing community debate and ideation tools, the talk will introduce a new class of emerging online deliberation platforms – coming from research on Hypermedia, Collective Intelligence and Argumentation – that enable more structured, engaging and transparent online deliberation processes.
The talk will focus on the description of some of these technologies and summarise research studies in which they have been used to effectively support online deliberation in the Education, Healthcare and Public sector.
The talk will conclude proposing reflections and future research on collective intelligence and online deliberation platforms to socially innovate and to re-engage citizens with the democratic process.
Blocked by YouTube - Unseen digital intermediation for social imaginaries in ...University of Sydney
YouTube is one of the most globally utilised online content sharing sites, enabling new commercial enterprise, education opportunities and facilities for vernacular creativity (Burgess, 2006). Its user engagement demonstrates significant capacity to develop online communities, alongside its arguably more popular use as a distribution platform to monetise one’s branded self (Senft, 2013). However, as a subset of Alphabet Incorporated, its access is often restricted by governments of Asian Pacific countries who disagree with the ideology of the business. Despite this, online communities thrive in these countries, bringing into question the sorts of augmentations used by its participants. This article reframes the discussion beyond restrictive regulation to focus on the DIY approach (augmentation) of community building through the use of hidden infrastructures (algorithms). This comparative study of key YouTube channels in several Asia Pacific countries highlights the sorts of techniques that bypass limiting infrastructures to boost online community engagement and growth. Lastly, this article reframes the significance of digital intermediation to highlight the opportunities key agents contribute to strengthening social imaginaries within the Asia Pacific region.
The slide has details on below points:
1. Introduction to Machine Learning
2. What are the challenges in acceptance of Machine Learning in Banks
3. How to overcome the challenges in adoption of Machine Learning in Banks
4. How to find new use cases of Machine Learning
5. Few current interesting use cases of Machine Learning
Please contact me (shekup@gmail.com) or connect with me on LinkedIn (https://www.linkedin.com/in/shekup/) for more explanation on ML and how it may help your business.
The slides are inspired by:
Survey & interviews done by me with Bankers & Technology Professionals
Presentation from Google NEXT 2017
Presentation by DATUM on Youtube
Royal Society Machine Learning
Big Data & Social Analytics Course from MIT & GetSmarter
National Association for Trusted Identities in Cyberspace - Establishing Trus...M2SYS Technology
The digitalization of the world economy has created demand for privacy enhancing identity solutions that support civil liberties and improve security. Running parallel to the need for trusted identities in cyberspace is the need for identities to be interoperable so that individuals can manage multiple credentials and choose which to use for a particular transaction or activity. The demand to establish a more secure identity ecosystem requires solutions to be user friendly and convenient including equitable access to the tools that establish this online identity credential for everyone, not only the affluent.
Learn more about NSTIC’s work to help advance the initiative of establishing a trusted identity in cyberspace, what implications this could have on patient identification in healthcare, why choosing a patient identification platform that is standardized is critical, and more!
Overview of Data and Analytics Essentials and FoundationsNUS-ISS
As companies increasingly integrate data across functions, the boundaries between marketing, sales and operations have been blurring. This allows them to find new opportunities that arise by aligning and integrating the activities of supply and demand to improve commercial effectiveness. Instead of conducting post-hoc analyses that allow them to correct future actions, companies generate and analyze data in near real-time and adjust their operations processes dynamically. Transitioning from static analytics outputs to more dynamic contextualized insights means analytics can be delivered with increased relevance closer to the point of decision.
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To learn more about TITANs approach and to subscribe for updates visit www.titanthinking.eu
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TITAN (EU R&I project) is dedicated to fighting disinformation, and is doing so through the co-creation of an AI-based engine that encourages citizens’ critical thinking to help them better identify false information online. Whilst AI offers exciting and unprecedented opportunities to deliver social good, the project team recognises it can entail ethical dangers too, from usability and understanding issues, to biases and data quality. To help counter any ethical implications, and enlighten the process of developing a trustworthy, ethically, and societally acceptable AI tool, TITAN has adopted a citizen-centric approach to understand requirements and needs. Citizens from across Europe have been involved in a co-creation process where their values, concerns and requirements were discussed, the results of which will become the foundation for the digital development of TITAN.
The first round of citizen co-creation was conducted during five-hour workshop's with 30 citizens in each session, in 8 different European countries - Denmark, Ireland, Italy, Spain, Lithuania, Belgium, Bulgaria and Slovakia. The co-creation framework created by TITAN partner the not-for-profit Danish Board of Technology consists of tried and tested engagement and co-creation methodologies.
Read more about the techniqies adopted at https://www.titanthinking.eu/post/building-together-insights-from-8-countries-co-creating-the-titan-ai-tool-to-fight-disinformation
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This presentation comes from a project meeting where we explored what Socratic Thinking is and what the Socratic Dialogues could look like. Examples are provided based upon real news stories.
Note this is work in progress so our approach will evolve and may change as we continue our R&I.
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TITAN aims to improve citizens critical thinking skills using an AI-enabled personalised coach so they can better determine for themselves the truthfulness of online content and help stop the spread of disinformation / fake news.
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TITAN aims to improve citizens critical thinking skills so they can better determine for themselves the truthfulness of online content and help stop the spread of disinformation / fake news.
This presentation by project partner Uninettuno University explores methods for assessing critical thinking skills, including the CCTDI: California Critical Thinking Disposition Inventory.
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TITAN is an EU funded initiative aiming to counter the effects of online disinformation and fake news through an AI-enabled chatbot which supports users critical thinking in investigating content accuracy.
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Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
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Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.
BDVA workshop on Foundation AI LLMs and Generative AI.pptx
1. An AI-based Citizen Coaching Ecosystem
against Disinformation
BDVA workshop on Foundation AI/LLMs and Generative AI
Brussels, 29/6/2023
Antonis Ramfos
2. TITAN:
An AI-based Citizen Coaching Ecosystem against Disinformation
• Disinformation campaigns aim at inactivating citizen’s critical thinking capacity.
• TITAN implements an intelligent ‘chatbot’ capable of guiding the citizen to logical conclusions about the factual
correctness or reliability of a statement. Citizen will be assisted in:
• interpreting and critically assessing the reasoning and arguments involved in a statement on their own
• conducting their own investigations either on an individual basis, or in collaboration with other citizens on
whether factual statements are true or reliable
• enhancing their critical thinking skills for better detection of disinformation they may encounter in the future at
scale
3. TITAN
An AI-based Citizen Coaching Ecosystem against Disinformation
TITAN will use a Generative-AI approach to generate Socratic inquiring
dialogues about a statement that:
• take into consideration the citizen’s critical thinking capacity
assessment
• incorporate use of fact-checking/verification processes and tools
based on the analysis of the statement at hand and citizen’s skills
• provide personalised experiential learning approach to media
literacy micro-lessons according to the citizen’s critical thinking
capacity
4. Choice of LLM: VICUNA-13B
• open-source chatbot
• trained by fine-tuning LLaMA on user-shared conversations collected from ShareGPT.
• Preliminary evaluation using GPT-4 as a judge shows Vicuna-13B
• achieves more than 90%* quality of OpenAI ChatGPT and Google Bard
• outperforms other models like LLaMA and Stanford Alpaca in more than 90%* of cases.
• The cost of training is around $300.
5. •
Fine-tuning the LLM: Data Acquisition
• What data is needed to solve the underlying problem of guiding the citizen to logical conclusions about the
factual correctness or reliability of a statement?
• Data for the generation of Socratic inquiring dialogues about a statement
• Data for the assessment of critical thinking capability of the citizen/user
• Data for the productive incorporation of fact-checking tools in the Socratic dialogues
• Data for the effective provision of micro-lessons during user interaction
• Is the data available? -> NO
• Is the data readily collectable? -> NO
• Is the data available for purchase? -> NO
6. Fine-tuning the LLM: Modeling
Instead of trying to model and engineer a full-fledged LLM-based solution upfront, first focus on learning as
much as possible about the problem-solution space
• Define specific user inquiries – statements to be verified
• Develop inquiring dialogues by-hand (Socratic dialogues
incorporating C-T assessment, fact-checking tools, micro-
lessons)
• Use co-creation to complete and expand above dialogues
• Implement a rule-based system that implements the
above inquiring dialogues
• Use co-creation to collect validated learning about
the inquiring dialogues with the least effort
• Produce reliable data for fine-tuning the LLM
• Perform fine-tuning on selected LLM model.