Foreign Secretary Boris Johnson held key responsibilities including National Security, MI6, Intelligence, Protection of UK Citizens, International Relations As PM he misled Parliament about 'Partygate'. original image Guardian Editorial 22 March 2023
JOHNSON'S 'COVER-UP' JUSTICE FOR DAWN STURGESS Mother-of-three Dawn Sturgess died after coming into contact with the Russian nerve agent Novichok original image BBC
JOHNSON'S COVER-UP Indirect responsibility for murder of Dawn Sturgess original image Guardian Editorial 22 March 2023
‘The common denominator linking Lord Evgeny Lebedev, Alexander Lebedev (a ‘former’ KGB agent), and Boris Johnson is primarily their interactions and the broader context of Russian influence in UK politics, as well as the handling of sensitive security and political issues.
Meetings and Relationships
- Boris Johnson, as the UK's Foreign Secretary and later Prime Minister, had significant and controversial interactions with the Lebedev family. In April 2018, Johnson attended a party at Evgeny Lebedev's Italian mansion, where he also met Alexander Lebedev, a former KGB agent, without any officials or security present. This meeting occurred shortly after Johnson had attended a NATO meeting to discuss the Russian response to the Salisbury Novichok poisonings [2][3].
Security Concerns and Protocol Breaches
- The private meeting between Johnson and Alexander Lebedev raises serious security concerns. Former MI6 agent Christopher Steele highlighted that such off-the-books meetings pose significant risks to the UK, as they may not have been properly recorded or reported back into the government. This breach of protocol is particularly alarming given Johnson's role as Foreign Secretary at the time [1][2].
Delay of the ISC Russia Report
- The delay in publishing the ISC Russia Report, which investigated Russian interference in UK politics, including the Brexit referendum and other events, is another critical point. Johnson's government was criticised for delaying the report's release until after the 2019 general election, despite the report being completed in March 2019. This delay has been seen as an attempt to avoid scrutiny of potential Russian influence during the election period [2][4].
Appointments and Conflicts of Interest
- Boris Johnson's decision to nominate Evgeny Lebedev for a peerage in 2020, despite concerns from UK intelligence agencies, further complicates the picture. This move has been criticised for potentially allowing Russian influence to penetrate deeper into British politics and society [1][2].
Handling of Russian Aggression
- The way Johnson's government handled incidents of Russian aggression, such as the polonium poisoning of Alexander Litvinenko and the Novichok poisonings of the Skripals and Dawn Sturgess, has been questioned. The timing of Johnson's meeting with Alexander Lebedev, just after discussing Russia's actions with NATO, adds to the concerns about his judgement and the potential for Russian influence [2][3].
Misconduct and Leadership Failures
- Johnson's overall handling of these issues, including his ill-judged prime ministerial ambitions and the allegations of misconduct in public office, obstruction of justice, and breach of duty, have raised significant questions about his leadership and integrity. His actions have been criticised for not adequately addressing the threat of Russian influence and for potentially emboldening Russian aggression, including Putin’s invasion of Ukraine [1][2].
In summary, the common denominator is the complex web of relationships and interactions between Boris Johnson and the Lebedev family, set against the backdrop of concerns about Russian influence in UK politics, breaches of security protocols, and the handling of sensitive security and political issues.’
Citations:
[1] https://www.youtube.com/watch?v=Ag4qR91JUOc
[2] https://www.independent.co.uk/news/uk/politics/boris-johnson-ap-evgeny-lebedev-london-conservative-party-b2131696.html
[3] https://www.gov.uk/government/news/novichok-nerve-agent-use-in-salisbury-uk-government-response
[4] https://en.wikipedia.org/wiki/Intelligence_and_Security_Committee_Russia_report
[5] https://www.dw.com/en/uk-russia-report-brexit/a-54182899
[6] https://www.europeansources.info/record/uk-conservative-party-leadership-contest/
[7] https://en.wikipedia.org/wiki/2019_Conservative_Party_leadership_election
[8] https://www.bbc.co.uk/news/election-2019-50765773
NOTES Explain why it is important for users of AI Language software to exercise critical thinking, independently verify validity, reliability -'fact-check' data from generally reliable sources and not solely rely on the model's responses for important decisions or information. Llewelyn Pritchard 21 October 2024:
Perplexity: ‘Exercising critical thinking, independently verifying the validity and reliability of data, and fact-checking information from generally reliable sources are crucial for users of AI language software for several reasons:
Hallucinations and Inaccuracies: AI language models, even advanced ones, can generate responses that are not grounded in reality, a phenomenon known as "hallucinations." These models can confidently provide incorrect or misleading information, which can be particularly problematic if users rely solely on the model's responses [1][2][4].
Limited Training Data: AI models are trained on specific datasets, and their accuracy is limited by the quality and scope of these datasets. For example, Google's DataGemma tool, while effective, has limitations in terms of the data it can access and the questions it can answer accurately. If the relevant data is not in the model's training set or database, the model may not provide accurate or reliable information [1].
Real-Time Information Challenges: AI models often struggle with real-time events or breaking news, as their training data may not include the latest developments. This can lead to incorrect or outdated information being provided, as seen in the case of Meta AI's responses to the attempted assassination of former President Trump [4].
Subjective Framing and Nuance: Fact-checking is not always straightforward, as AI models may not capture the nuances of human communication. A quote or statement might be technically accurate but misleading due to the context or framing. Human judgement is often necessary to understand the full implications and context of the information provided [5].
Error and Unknown Rates: Studies have shown that even the most accurate AI fact-checking models have error rates. For instance, Originality.ai, which has a high accuracy rate of 72.3%, still has a small error rate and may return "unknown" results for certain queries. This underscores the need for users to verify information independently [2][3].
Manipulated Media and Information Warfare: Bad actors can engineer ways to circumvent AI fact-checking tools, spreading misinformation or manipulated media that might evade detection. This means that relying solely on AI for fact-checking can leave users vulnerable to misinformation [5].
Impact on Decision-Making: For important decisions or critical information, relying solely on AI model responses can be risky. Incorrect or misleading information can have significant consequences, whether in personal, professional, or public contexts. Independent verification from reliable sources ensures that decisions are based on accurate and trustworthy information.
In summary, exercising critical thinking and independently verifying the validity and reliability of data from generally reliable sources are essential because AI language models can generate inaccurate information, have limitations in their training data, struggle with real-time events, lack nuance in their responses, and are not immune to errors or manipulation. These factors highlight the importance of a multi-layered approach to fact-checking to ensure the accuracy and reliability of the information used for important decisions.
Citations:
[1] https://www.technologyreview.com/2024/09/12/1103926/googles-new-tool-lets-large-language-models-fact-check-their-responses/
[2] https://originality.ai/blog/ai-fact-checking-accuracy
[3] https://originality.ai/automated-fact-checker
[4] https://about.fb.com/news/2024/07/review-of-fact-checking-label-and-meta-ai-responses/
[5] https://www.niemanlab.org/2022/12/ai-will-start-fact-checking-we-may-not-like-the-results/
[6] https://www.techtarget.com/whatis/feature/Steps-in-fact-checking-AI-generated-content
[7] https://libguides.uel.ac.uk/artificial-intelligence/using-ai-critically
[8] https://reutersinstitute.politics.ox.ac.uk/how-generative-ai-chatbots-responded-questions-and-fact-checks-about-2024-uk-general-election
Source: https://www.perplexity.ai/search/explain-why-it-is-important-fo-wLezjtPtReucQFNpfsd9ZA #OpenSourceAI #Perplexity 21 October 2024
DeepAI: ‘The text emphasises the importance of critical thinking and independent verification when using AI language models. Key points include:
1. Inaccuracy: AI may produce plausible but inaccurate information, which can be outdated or false.
2. Contextual Understanding: AI lacks human-like comprehension, leading to incomplete or skewed responses.
3. Bias: AI training data may include biases, which can influence the outputs and reinforce stereotypes.
4. Source Variability: AI responses can stem from both reputable and unreliable sources, necessitating careful evaluation of credibility.
5. Static Information: AI cannot provide real-time updates, making it essential to consult current, trustworthy sources for changing topics.
6. Complexity: Many subjects require deep understanding that AI responses might not adequately cover.
7. Consequences of Misinformation: Relying solely on AI for critical decisions can lead to severe consequences due to potential misinformation.
8. Promoting Critical Thinking: Engaging critically with information leads to better decision-making and understanding.
In conclusion, while AI can be a useful resource, users should approach its outputs cautiously and verify information to make informed, responsible decisions.’ https://deepai.org/chat DeepAI 21 October 2024
ChatGPT4o: ‘It is essential for users of AI language software to exercise critical thinking and independently verify the validity and reliability of information for several key reasons:
1. Potential for Errors: AI models, while highly advanced, are not infallible. They can generate incorrect, outdated, or misleading information because they rely on vast datasets that may include inaccuracies or biases. Although these models can analyse data efficiently, they don't inherently understand the truthfulness of that data.
2. Bias in Data: The data that AI models are trained on can contain inherent biases that reflect the information they were fed. This may result in responses that perpetuate stereotypes, skewed perspectives, or factual inaccuracies. Critical thinking allows users to identify and account for these biases.
3. Dynamic Nature of Information: The real world is constantly changing, and information - especially in areas like science, politics, or technology - may quickly become outdated. AI models, unless specifically updated or browsing current information, may provide responses that do not reflect the most up-to-date facts. Independent verification ensures that the information is current and reliable.
4. Limitations in Context Understanding: AI can sometimes misunderstand the full context of a user's question or lack nuanced interpretation. While it can produce highly accurate responses in many cases, it might miss subtle details or the broader implications of a question, which a human reviewer or expert could more easily identify.
5. Ethical and Responsible Use: Relying solely on AI-generated content for critical decisions (e.g., medical advice, financial planning, or legal matters) without verification can be risky. AI tools should be seen as aids to decision-making rather than the final authority. Fact-checking ensures that important decisions are based on robust, well-rounded information from multiple reliable sources.
6. Avoiding Misinterpretation: AI models, including language models, generate responses based on probability, not understanding. This means that they can sometimes output responses that seem plausible but are incorrect or misinterpreted. Users need to cross-check information from reputable sources to avoid potential harm.
In summary, critical thinking and independent fact-checking help ensure the responsible and effective use of AI. By verifying the reliability and validity of AI-generated content, users can avoid errors, mitigate bias, and make better-informed decisions.’
Source: https://chatgpt.com/c/67164309-62c4-8003-9c1b-58fdbb98ecad ChatGPT4o 21 October 2024
https://docs.google.com/document/d/e/2PACX-1vSy0h0Lxo1P6ZJAuewBDa2zGm_78ggYkvGpzVzkdJVbcPNQafNZ-ayPMuOXC9jQBrOdruPOmeybTQn2/pub https://unitedforclimate.blogspot.com/2024/11/the-common-denominator-linking-lord.html https://landprotectorshumanrightsmovement.blogspot.com/2024/11/the-common-denominator-linking-lord.html https://muskratfallscivilrightsmovement.blogspot.com/2024/11/the-common-denominator-linking-lord.html https://labradorleadstheworld.blogspot.com/2024/11/the-common-denominator-linking-lord.html ‘The common denominator linking Lord Evgeny Lebedev, Alexander Lebedev (a ‘former’ KGB agent), and Boris Johnson is primarily their interactions and the broader context of Russian influence in UK politics, as well as the handling of sensitive security and political issues.’ #AI #Perplexity Llewelyn Pritchard 1 November 2024
Links
https://docs.google.com/document/d/e/2PACX-1vQ4mLpSPlG0cGz-RXCFa21Vo6AshonvWUwxydZu-o3TKvxiEp55ksNOwzw_1tTu-yEO6BLewd24Cg4_/pub JOHNSON DELAY ON RUSSIA DOSSIER HELPS PUTIN, SAYS LITVINENKO WIDOW wife of poisoned ex-spy warns of risks in suppressing report on RUS interference. Luke Harding, Dan Sabbagh 5 Nov 2019 #JohnsonsCoverUp #Sleaze #Fraud #Crime #ECHR #JohnsonLies #JailTime
https://docs.google.com/document/d/1yXFGLRVD1pJN3hWySGJ3C8oFmkELlvYPVWx7YLSPV3g/pub https://unitedforclimate.blogspot.com/2024/09/will-dawn-sturgess-public-inquiry-terms.html https://landprotectorshumanrightsmovement.blogspot.com/2024/09/will-dawn-sturgess-public-inquiry-terms.html https://muskratfallscivilrightsmovement.blogspot.com/2024/09/will-dawn-sturgess-public-inquiry-terms.html https://labradorleadstheworld.blogspot.com/2024/09/will-dawn-sturgess-public-inquiry-terms.html Will the Dawn Sturgess Public Inquiry Terms of Reference allow its Report intentionally omitting civil and criminal liability to be ‘spun’ into the Johnson Cover-up Story? Consisting, at the very least of ‘Tory Sleaze’ unethical behaviour in office; ignoring his own agencies’ intelligence advice; breaching National Security in secretive meeting(s) with Alexander Lebedev, Perugia, Italy; media complicity for his own ends with Evgeny Lebedev; Russian Interference EU Referendum 2016; accepting Russian oligarch Conservative Party donations; ‘constitutional corrosion’ epitomised by ‘LondonGrad Laundromat’; enabling Putin’s Brexit by his failed leadership; interfering in an early, possible Russian-Ukraine peace deal; purportedly supporting the welfare of Ukraine whilst more concerned about ‘saving his own skin’; his Crony COVID Contracts and missing five COBRA meetings whilst otherwise distracted - becoming yet another example of unethical behaviour in the UK Government’s way of working? #AI #Perplexity #MoveOnNothingToSeeHere Llewelyn Pritchard 3 October 2024
https://docs.google.com/document/d/e/2PACX-1vTamYLuCvWJJ_QQ5m96G3LILzAg8i7PGoXB1rrxlxZ1oa3c6_6RDKCmzOpNa8UpXcLd4GqaXBUj8d4_/pub https://unitedforclimate.blogspot.com/2024/10/in-summary-boris-johnsons-leadership.html https://landprotectorshumanrightsmovement.blogspot.com/2024/10/in-summary-boris-johnsons-leadership.html https://muskratfallscivilrightsmovement.blogspot.com/2024/10/in-summary-boris-johnsons-leadership.html https://labradorleadstheworld.blogspot.com/2024/10/in-summary-boris-johnsons-leadership.html In summary, Boris Johnson's leadership style, marked by hypocrisy, lack of integrity, abuse of power, failure to take responsibility, chaotic governance, incompetent appointments, communication failures, and erosion of institutional trust, all contributed significantly to the erosion of trust in his government. #AI #Perplexity #DeepAI #ChatGPT4o Llewelyn Pritchard 28 October 2024














