Mastodawn

Delphi-Study findings for 2040:

1. Increased competition may compromise safe AI development.
2. Limited impact of quantum computing by 2040.
3. Ownership of public web assets, traded via tokenization.
4. Difficulty in distinguishing truth from fiction due to AI-generated content.
5. Challenges in distinguishing accidents from criminal incidents in decentralized systems. 📊 #DelphiStudy #AI #QuantumComputing
https://ieeexplore.ieee.org/document/10380243

Interlinked Computing in 2040: Safety, Truth, Ownership, and Accountability

Computer systems are increasingly interconnected, magnifying benefits and risks, especially with AI integration. Using a Delphi-based method, we interviewed technology futurists about potential trends towards 2040 and their societal impacts. Our findings highlight five key forecasts related to artificial intelligence and system complexity, and suggest six interventions to mitigate negative impacts.

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Harald Klinke Feb 5, 2024

This project delves into the future of interlinked computing, examining the collaboration of independent systems. Drawing from interviews with expert futurists as the initial stage of a Delphi study, they present these potential forecasts. They encompass predictions and research-worthy concerns.
#InterlinkedComputing #FutureTech #DelphiStudy
https://zenodo.org/records/8187042

Interlinked Computing: Initial Forecasts

Our project explores the future of interlinked computing: how connections, networks and grids between many independent, separately owned, systems, will work together. Based on nine interviews with expert futurists as the first step in a Delphi study, we offer these possible forecasts for comments. They are in the form of statements, both predictions, and concerns needing research now.

Zenodo

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Harald Klinke Feb 5, 2024

Solutions to the identified problems include:
- Implementing 'ambient accountability' to prevent misbehaving bots.
- Enacting legislation for AI safety and government AI purchasing safety principles.
- Offering retraining opportunities for workers displaced by automation.
- Involving social sciences and anthropology to understand the technological landscape.
- Exploring AI-driven energy efficiency improvements.
- Building data centers near clean energy sources for efficient data transport.

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Harald Klinke Feb 5, 2024

Suggestions based on the study:

1. Ambient Accountability: Include safety checks within AI code.

2. Government Action: Establish AI safety principles and enact legislation.

3. Education: Offer interdisciplinary courses on AI and legislation.

4. Interdisciplinary Collaboration: Involve social science experts.

5. Responsible Development: Invest in AI methodology development.

6. Information Ecosystem: Foster diverse, fact-checked information sources.