Send us Fan Mail

Summary

In this episode, Dr. Alex Leithard discusses the landscape of AI, its applications, cultural implications, pricing models, and the future of AI technology. Listeners will gain insights into how organizations can approach AI adoption responsibly and effectively.

Key Topics

• AI landscape and applications
• Cultural change in AI adoption
• Pricing models and economic impact of AI
• Measuring AI value and impact
• AI safety, bias, and ethical considerations
• Future trends and the potential of AGI

Chapters

00:00 Introduction to Dr. Alex Leithardt and episode overview
01:08 Dr. Leithardt's background and journey into AI
02:42 Understanding AI technologies and their applications
04:32 The role of organizational culture in AI adoption
05:48 Hypothesis testing and experimentation in AI projects
07:30 Quantitative vs qualitative measurement of AI value
08:49 Challenges in AI ROI and market disruption
13:50 Pricing models for AI: Value-based and outcome-based
18:20 Market disruption and the race to AI adoption
22:26 Environmental impact and data transparency in AI
24:49 On-device AI and future ecosystem considerations
28:50 Predictions for AGI and the future of AI technology
31:27 Consciousness, intelligence, and philosophical perspectives
34:33 Information overload and managing AI in organizations
36:20 Transparency, opaqueness, and user experience in AI tools
38:30 Data privacy, bias, and responsible AI use
41:21 Book and resource recommendations from Dr. Leithardt
43:24 On device AI stacks and tools used by Dr. Leithardt
44:50 Closing remarks and future discussions

Links & Stuff

🔗 Connect with Alex Leathard on LinkedIn:
https://www.linkedin.com/in/alexleathard/

Support the show

Subscribe to the Project Flux Newsletter!

All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter!

Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!

Sign Up to Newsletter

Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Send us Fan Mail

Summary

In this episode, Nate Amidon shares his unique journey from a C-17 pilot to founder of Form 100 Consulting, highlighting how military skills translate into technology consulting and the importance of trust and governance in AI deployment.

Key Topics

• Military skills in technology consulting
• The importance of trust in AI
• Governance and regulation of AI tools
• Using AI to improve decision-making and project delivery
• The OODA loop and AI's role in fast decision environments
• Transitioning from military to civilian tech careers

Chapters

00:00 Introduction and episode overview
01:12 Nate Amidon's background as a C-17 pilot
02:13 Transition from military to technology consulting
03:01 Skills transfer from military to tech projects
04:07 Differences and similarities between military and private sector processes
06:23 The role of SOPs and regulation in organizations
08:14 AI governance and risk management
10:23 Balancing governance and innovation in AI deployment
13:17 Trust in AI and project reporting
17:06 Watermarking and authenticity of AI-generated content
19:30 The role of AI in decision-making and the OODA loop
22:20 AI's ability to discern and make decisions
28:39 Long horizon tasks and AI autonomy
33:17 Veteran support programs and MSSA
34:02 AI as a decision-making and creativity tool
37:55 Risks of over-reliance on AI in project management
42:18 Nate Amidon's work with veterans and future predictions

Links & Stuff

🔗 Connect with Nate Amidon on LinkedIn:
Nate Amidon on LinkedIn

🔗 Learn More About Movar:
Visit Movar Reply

Support the show

Subscribe to the Project Flux Newsletter!

All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter!

Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!

Sign Up to Newsletter

Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Send us Fan Mail

Summary

In this episode, Sir Robert Buckland discusses the impact of AI on the justice system, the challenges of integrating technology into legal processes, and the future of AI regulation. His insights shed light on how AI can transform justice while highlighting the importance of human judgment and ethical considerations.

Key Topics

• Impact of AI on the justice system
• Challenges of integrating AI into courts
• AI bias and ethical considerations
• Future regulation of AI and legal implications
• Training legal professionals for AI adoption

Chapters

00:00 Introduction to Sir Robert Buckland and his career
03:29 The risks of misinformation and deep fakery in courts
07:09 The importance of verification and professional standards
11:24 The role of human judgment versus AI in courts
17:36 The evolution of legal work and technology over decades
20:39 AI's impact on court backlog and efficiency
24:00 Bias in large language models and societal implications
26:37 Law and social change: AI's role in reflecting societal values
27:18 The importance of human final judgment in legal decisions
30:50 Richard Susskind's perspective on professional change
31:15 The future of the legal profession in the AI era
33:17 Developing AI systems in partnership with legal professionals
34:30 Lessons from past technological failures in justice systems
35:09 Risks of AI system failures and the need for oversight
36:10 The shift towards output-based legal service pricing
37:24 The potential of agentive AI in court processes
38:23 Insights into government decision-making and AI awareness
40:21 The role of government and regulation in AI development
42:23 Global AI regulation: EU, US, and UK perspectives
44:29 Reflections on technological innovation and future prospects

Links & Stuff

• Sir Robert Buckland KC: Protecting the Rule of Law Doesn’t Mean the Rule of Lawyers
  Read the article
• AI, Machine Learning and the Justice System – Harvard Kennedy School Research Paper
  Read the full research paper (PDF)
• About Sir Robert Buckland KC
  Learn more about Sir Robert Buckland

LinkedIn: Connect with Sir Robert Buckland on LinkedIn

Support the show

Subscribe to the Project Flux Newsletter!

All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter!

Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!

Sign Up to Newsletter

Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Send us Fan Mail

Summary

In this episode, Isabela Parisio, an AI policy and governance expert, discusses the complexities of AI regulation, the race between law and technology, and the future of AI in legal and other sectors. She shares insights from her experience at King's College and her research on responsible AI.

Key Topics

• AI policy and governance complexities
• The pace of regulation versus technological development
• Global and regional AI regulations
• The impact of AI on legal practice and law firms
• Market power and geopolitical considerations in AI regulation
• The role of regulators and dialogue in AI governance
• AI hallucinations and legal liability
• Future predictions for AI regulation in five years

Chapters

00:00 Introduction to AI policy and governance
02:01 Isabella's background and journey into AI regulation
03:48 The increasing importance of AI regulation and political debates
06:07 The scattered landscape of global AI regulations
06:57 Law versus technology: the race and pace problem
08:56 The impact of market power and geopolitical interests
10:54 The role of regulation in innovation and risk management
13:03 Case study: AI in the legal sector and liability issues
15:57 The importance of dialogue and regulatory engagement
17:57 Future predictions for AI regulation and potential crises

Links and Stuff

Isabella’s Linked In - https://www.linkedin.com/in/isabela-parisio-?utm_source=share_via&utm_content=profile&utm_medium=member_ios

Richard Susskind — The Future of the Professions

The Future of the Professions: How Technology Will Transform the Work of Human Experts (Richard Susskind & Daniel Susskind, updated edn 2022) — https://global.oup.com/academic/product/the-future-of-the-professions-9780198841890

AI policy and governance research at King's College London

• King's Institute for Artificial Intelligence — https://www.kcl.ac.uk/ai
• TELOS — Centre for Technology, Ethics, Law and Society (Dickson Poon School of Law) — https://www.kcl.ac.uk/research/centre-for-technology-ethics-law-and-society-telos — the one to cite for AI regulation and governance specifically
• Responsible AI UK at King's — https://www.kcl.ac.uk/research/rai-uk
• UKRI Centre for Doctoral Training in Safe and Trusted AI (KCL / Imperial) — https://safeandtrustedai.org/

Support the show

Subscribe to the Project Flux Newsletter!

All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter!

Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!

Sign Up to Newsletter

Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Send us Fan Mail

Summary

In this episode, Emile Kfouri from Autodesk shares insights on AI's evolving role in construction and design, the future of outcome-based modeling, and how humans and AI can collaborate effectively.

Key Topics

• AI's role in construction and design
• Outcome-based modeling and its implications
• The evolution of developer work with AI
• Heuristics and their role in AI development
• Multi-agent systems and scaffolding in AI
• Responsible AI and ethical considerations
• Future skills for developers and users
• The impact of AI on human roles and collaboration

Chapters

00:00 Introduction and episode overview
01:13 Guest introduction: Emil Kofori from Autodesk
02:09 Emil's background and team overview at Autodesk
04:03 Challenges in AI adoption and responsible use
05:22 Changes in developer advocacy and AI's influence
07:33 Shift towards outcome-based design in construction
09:41 Scrutinizing AI models and understanding their thought process
12:25 Multi-agent architectures and scaffolding in AI
17:45 Heuristics, AI, and open-ended problem solving
23:06 Indicators for when not to use AI
28:50 The future skills of developers and humans in AI era
39:31 Books that influenced Emil's thinking
41:34 Predictions for AI in AEC in five years
43:06 Closing remarks and where to find Emil

Links and Stuff

Emile Kfouris's Linkedin : https://www.linkedin.com/in/emile-kfouri/

Support the show

Subscribe to the Project Flux Newsletter!

All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter!

Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!

Sign Up to Newsletter

Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Send us Fan Mail

Summary

In this week's episode, we are joined by João Dias, Co-Founder and CEO of Constructer.ai, and Dr Shirin Dora, Senior Lecturer in Neuromorphic Computing at Loughborough University, to discuss what trustworthy AI really requires in construction.

Key Topics

• AI's impact on construction project management
• Data quality and unstructured data in construction
• Use of live data versus historical data in AI models
• The importance of domain expertise in AI solutions
• Challenges of AI adoption in construction industry
• The concept of faithful but wrong in AI outputs
• Future prospects of AI and AGI in construction

Chapters

00:00 Introduction to the episode and guests
01:09 Joao Dias discusses his background and motivation for founding Constructor
02:34 The personal pain points in project delivery that AI aims to solve
03:11 Shirin Dora shares her transition from academic machine learning to industry impact
04:11 The collaboration between domain expertise and AI technology
06:02 Differentiating Constructor from other construction tech platforms
09:52 Constructor's approach: detect, quantify, and act with live data
11:01 Why focus on live data instead of historical data
12:21 Choosing appropriate AI techniques for construction problems
16:15 Understanding hallucination versus faithful but wrong in AI outputs
21:32 Liability and trust in AI-generated insights in construction
24:13 Current AI adoption levels in the construction industry
34:24 Preparing for the future: building AI capabilities for construction professionals
41:54 The long-term outlook for AI and the possibility of AGI in construction

Connect with the Guests:

• Joao Dias - LinkedIn
• Shirin Dora - Linkedin
• Constructer.ai

Support the show

Subscribe to the Project Flux Newsletter!

All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter!

Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!

Sign Up to Newsletter

Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Send us Fan Mail

Summary

Helen Routledge, CEO of Totem Learning, shares insights on the intersection of AI, serious games, and human behavior. Discover how immersive technology and behavioral science are shaping the future of learning and performance.

Key Topics

• The role of serious games in behavior change
• Impact of AI on game design and creativity
• The importance of practice in learning and memory
• Holistic systems thinking in technology adoption
• Ethics and regulation of AI in training
• The human element in AI-driven systems
• Cost and quality considerations in immersive learning
• The future of work and AI adoption among different age groups

Chapters

00:00 Introduction to Helen Routledge and Totem Learning
01:10 Helen's background in psychology and behavior change
02:30 What are serious games and their role in learning
03:46 Current focus on AI and its impact on software and game design
05:18 The challenge of quality in AI-generated content
06:55 The importance of creativity and human direction in game development
07:41 Holistic systems thinking in behavior change and technology
08:22 Practice versus instant knowledge in learning
10:30 Building mental models through practice and experience
12:18 The value of doing and experiential learning
13:33 The emotional element in learning and AI simulation
15:33 Empowering learners through problem-solving and choice
17:00 AI as a supporter versus a control in learning
18:03 Designing AI characters with emotional and psychological depth
20:28 Emulating emotion and human traits in AI characters
22:39 Cost, quality, and the economics of immersive learning
24:36 Risks and safeguards in AI development and deployment
26:31 Experimentation and rapid testing with AI tools
28:14 Regulation, safety, and slowing down AI progress
30:43 AI adoption and resistance among different age groups
33:22 The societal impact of AI and future work trends
36:22 The importance of human connection in a digital world
38:45 The unique value of human judgment in immersive learning
42:37 Helen's recommended game: Zelda Breath of the Wild
43:46 Nested problem solving in games and real-world applications
44:50 The joy of curiosity and continuous learning
45:46 Connecting with Helen and final thoughts

Links and Stuff

Support the show

Subscribe to the Project Flux Newsletter!

All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter!

Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!

Sign Up to Newsletter

Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Send us Fan Mail

Summary

In this episode, Ritesh Patel, co-founder of TicketFairy, shares insights on how AI is transforming event management, ticketing, and industry dynamics. Discover how innovative AI-driven tools are streamlining operations, enhancing fan engagement, and shaping the future of live events.

Key Topics

• AI in event management and ticketing
• Automation of event production tasks
• Word of mouth and network effects in ticket sales
• AI-driven industry insights and analytics
• Custom AI harness and skills for event planning
• Impact of AI on jobs and industry dynamics

Chapters

00:00 Introduction to Ritesh Patel and TicketFairy
01:11 Ritesh's background in tech and event production
03:03 Identifying market gaps in event tech
03:55 TicketFairy's dual focus on promoters and fans
04:46 The importance of industry health and sustainability
05:57 Digitizing word of mouth and marketing
08:54 AI's role in streamlining event logistics
10:57 Building custom AI harnesses for industry-specific needs
12:58 Early experiments with AI and LLMs in event management
15:04 The development of AI agents for event production
18:02 Proactive AI in operational management and safety
19:56 AI for continuous improvement and feedback loops
21:48 AI's role in logistics, contracts, and vendor management
24:56 The importance of ground-level experience in AI development
29:56 Scaling AI systems for business and industry
31:53 Future potential of recursive AI improvements
33:52 Impact of AI on jobs and industry efficiency
37:09 Societal implications and the AI revolution
40:05 The enduring value of in-person experiences
41:08 Personal influences and recent technological inspirations
42:06 Predictions for the future of live events in 2031
43:50 Closing thoughts and where to find Ritesh

Links and Stuff

Ticket Fairy's Linkedin :

Support the show

Subscribe to the Project Flux Newsletter!

All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter!

Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!

Sign Up to Newsletter

Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.