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World Congress 2024 • Aug 20, 2024 • Session details

Collaborative Intelligence: The Human & AI Partnership

Alejandro Saucedo , Demetris Cheatham , Jakob von Lindern , Prashanth Chandrasekar

Only 40% of developers fully trust AI-generated code. Discover how bridging this critical trust gap will shift software engineering from manual syntax tinkering to strategic systems thinking.

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#1 about 3 min

Exploring real-world examples of daily artificial intelligence assistance

Automated assistants successfully streamline daily practical tasks like localized scheduling and creative content adaptation.

#2 about 3 min

Combining code generation tools with contextual organizational knowledge

Integrating community datasets with code generation tools grounds suggestions in company-specific guidelines and internal models.

#3 about 3 min

Measuring actual productivity gains in modern software development

Organizations struggle to quantify true business value and maintain consistent productivity metrics beyond perceived initial benefits.

#4 about 5 min

Navigating developer trust and enterprise adoption of new tools

Initial productivity boosts often stall during broader deployment due to unmanaged expectations and tool reliability concerns.

#5 about 4 min

Addressing developer apprehension and overreliance on tool output

Fear of accountability for hallucinated code and the danger of junior engineers ignoring basic architectures hinder broader acceptance.

#6 about 4 min

Managing deployment risks and emerging algorithmic regulatory frameworks

Scaling generative tools introduces novel cybersecurity threats, algorithmic bias concerns, and complex production monitoring requirements.

#7 about 4 min

Solving the knowledge deficit in large language models

Feeding verified community answers directly into the generation workflow ensures datasets remain trained on evolving human insights.

#8 about 2 min

Mitigating the influx of artificially generated bug reports

Automated code scanning capabilities help open-source maintainers by immediately identifying and fixing vulnerabilities instead of merely surfacing them.

#9 about 4 min

Shifting focus from syntax debugging to systems engineering

Delegating mundane bracket matching to automated tools allows engineers to redirect their focus toward complex architectural challenges.

#10 about 2 min

Fostering diversity in the next generation of global engineers

The democratization of development tooling presents an unprecedented opportunity to establish a vastly more inclusive technical workforce.

Matching moments

4:15 min

Security integration and AI skepticism in developer tooling

Chris Heilmann +2 · LIVE

51 sec

Impact of AI tools on developer collaboration

Brooke Gazdag Brooke Gazdag · Europe 2026 Virtual

5:18 min

Addressing psychological safety and ethical risks of AI adoption

Vera Slavnić Vera Slavnić · Europe 2026 Virtual

1:55 min

Shifting developer workloads and realistic AI productivity gains

Chris Heilmann +2 · LIVE

3:17 min

Balancing AI regulation with technological innovation in human resources

Rudi Bauer Rudi Bauer +1 · Cappuccino with HR

1:31 min

Essential AI and human skills for future teams

Alexander Weißhaupt Alexander Weißhaupt +1 · WWC 2025

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