Interests

Robotics and AGI
I must get more into this…

Averting AGI Problems:

Possible problems with AI can be avoided or mitigated through careful design, research, and implementation. Here are some strategies and approaches to address potential problems:

  1. Ethical Frameworks and Guidelines: Establish clear ethical principles and guidelines for AI development and deployment. This involves considering issues like fairness, transparency, accountability, and privacy throughout the AI lifecycle.
  2. Diverse and Inclusive Development Teams: Form diverse teams with individuals from various backgrounds and expertise. This helps in identifying and addressing potential biases and blind spots in AI systems.
  3. Data Quality and Bias Mitigation: Ensure high-quality and diverse training data to prevent biases from being ingrained in AI models. Implement techniques like data augmentation, data balancing, and debiasing to reduce discriminatory outcomes.
  4. Transparency and Interpretability: Make AI systems more transparent and interpretable. This allows users to understand how decisions are made and helps in identifying errors or biases.
  5. Regular Auditing and Testing: Continuously audit and test AI systems for biases, errors, and unintended consequences. Regular assessments can help identify problems early on and allow for necessary adjustments.
  6. Human-in-the-Loop Systems: Incorporate human oversight in critical AI decisions. This can involve having human reviewers check and correct AI-generated outputs to ensure accuracy and appropriateness.
  7. Feedback Loops and Continuous Learning: Implement mechanisms for AI systems to learn from user feedback. Continuous learning helps the system adapt and improve over time, reducing errors and improving performance.
  8. Regulation and Governance: Establish regulatory frameworks that govern the development and deployment of AI technologies. Regulations can ensure that AI systems adhere to certain standards and guidelines to prevent harm.
  9. Value Alignment: Ensure that AI systems are designed to align with human values and goals. This involves explicitly defining the objectives and constraints of the AI system to avoid unintended and undesirable behaviors.
  10. Safeguards and Fail-Safe Mechanisms: Incorporate fail-safe mechanisms that can detect and respond to anomalies or unexpected behavior in real-time. These safeguards can help prevent AI systems from making harmful decisions.
  11. Scenario Testing and Simulation: Test AI systems in various scenarios and simulate potential outcomes to identify possible issues. This helps uncover problems that might not be immediately apparent during regular testing.
  12. Public and Peer Review: Encourage public and peer scrutiny of AI systems. Openly discussing and reviewing AI technologies can help identify and address problems that might have been overlooked.
  13. Robustness and Security Measures: Implement measures to protect AI systems from adversarial attacks and vulnerabilities. This ensures that malicious actors cannot exploit AI systems for harmful purposes.
  14. Education and Awareness: Educate stakeholders, including developers, users, and policymakers, about the capabilities, limitations, and potential risks of AI. A better understanding can lead to more responsible and informed decision-making.
  15. Collaboration and Knowledge Sharing: Foster collaboration between academia, industry, and regulatory bodies to collectively address AI challenges. Sharing knowledge and best practices can help in avoiding problems across the field.

Remember that AI development is an ongoing process, and addressing potential problems requires vigilance, adaptability, and a commitment to ethical and responsible AI practices.

Cycling
Better than being in the Gym – if the weather’s good and there is not too much danger of being run over! See Holidays…

Cricket
An avid watcher and now an umpire. No COVID but still no teas…

Music
Both instrumental and musical theatre

Djelem

Classic Vehicles
I just look at old cars and associated magazines. They are potentially too rusty and expensive to look after. Bikes are another matter though. Hence Webster.

KP Visit December 2021

Me and KP at Bristol Aerospace Museum
Me and KP
KP at the Brunel Experience
KP with tall hat
KP at the Brunel Experience - again
KP with tall hat again
Aerospace and Brunel experience

Gliding
Using rising air to be at one with nature. I must get back into this… The Mynd or Lasham beckons with the better weather – or Mendip GC…. Nearly had a ride at Mendip but no tug!!

Skiing
I’m a bit off skiing having broken (fractured) my ankle.  Watch this space though – I may be allowed to change my mind..

Unified Economic Theory and Creative Writing
Systematic and integrated.
Books on the above (and below) plus Crime Sci Fi Adventure Poems Short Stories Fiction and Fact
1000 (500) words per day…

Towards a Perfect World
A history of the NHS – All about Health and Education

Need to resolve – “facism”/racism mortalilty Fusion power global warming My weight !! Gravity control / Force filds Crime Toimetravel Cold cure/epidemics/Cancer Steam Power drugs Middle East World economy

Music
Computing
Of course – must download WordPress, Moodle and Modx. At least I’ve got Linux and a new computer…

Worldwide Webster
My latest project

Business Ideas