Fintech Meetups Melbourne

Bitcoin Basics - Altcoins & Tax

**Bitcoin Basics -** Altcoins & Tax This is a Melbourne based, live event. Limited seating, booking required. Hosted by Craig A Guest Speaker: Sam Accetta from Haines Muir Hill, Member of the Institute, Chartered Accountants of Australia and New Zealand **What You’ll Learn:** * The Bitcoin Basics related to; * What is Bitcoin * Bitcoin comparison to Altcoins. * Bitcoin and Altcoin historical performance. * What makes Bitcoin special? * Basis of Taxation * Ordinary Income * Capital Gains * Capital Gains Tax Example * Personal Use Assets * Stablecoins * Leaving Australia - Tax Xonsequences AML/CTF Rules. * Questions and answers. At the upcoming live Bitcoin event, attendees will gain an understanding of the fundamentals of Bitcoin, with a focus on how it compares to altcoins and the key taxation considerations involved. The session will explore the historical performance of Bitcoin and altcoins, as well as the unique characteristics that set Bitcoin apart. It will also provide an overview of how Bitcoin is taxed, including ordinary income and capital gains, supported by practical capital gains tax examples. In addition, attendees will learn about special considerations such as personal use assets, stablecoins, the potential tax consequences of leaving Australia, and important AML/CTF rules. A dedicated Q&A segment will allow participants to ask questions and engage directly with knowledgeable speakers. This is a free community event designed to promote education around Bitcoin and support the growth of the local Bitcoin community. With limited seats available, early booking is highly recommended to secure your spot. Don’t miss this opportunity to deepen your understanding of Bitcoin in a practical, hands-on setting. Please send us a message if there is someting in particular you would like to hear about and we will aim to include it within the presentation on the night. **IMPORTANT** please arrive by 5:45pm to ensure we can let you in at ground level and to access the lifts. Thereafter, we may not have someone available to let you in the building. **Location: Melbourne Connect - Level 7 Manhari Room 7212.** **Address: 700 Swanston St, Carlton VIC 3053** How to get there? Take the tram from Melbourne Central Station, there are multiple bus options or paid parking is available at Ace Parking, Cardigan House. Detailed Directions: [Directions Link](https://drive.google.com/file/d/1-KL-V_FoEyLkfWzGtFXMNOzSfTI_8K6e/view?usp=sharing) The event will be catered. There'll be some finger food/snacks and drinks available. Please register early so we can allow for everyone. If there is something in particular you would like to learn about, send us a message and we will do our best to include it in the presentation. *\*Final details are subject to change.*

Bitcoin Pub Meetup

Let's drink to **Internet Money and the quiet revolution**! Come and meet like-minded people and learn about bitcoin. This night is for newbies and regulars alike (don't worry, we don't bite!). Note that this is a very informal event, so you may need to ask the bar staff to find where the group is. There are no speakers or activities, just a casual pub session. \*NOTE: The Fox Hotel accepts Bitcoin via the lightning network, so come with sats! An easy way to get started is to download a compatible wallet, for example Wallet of Satoshi. This is the regular monthly pub session for the Melbourne Bitcoin community. We recommend new comers check out https://bitcoin.rocks/ and https://bitcoin-intro.com Find out more by visiting our telegram chat channel: https://t.me/btcmelbourne *(yes, telegram is not our favourite solution, but it's stuck so far)*

Tech & Business Networking in Melbourne

**Attention attendees!** **To register, use**[ Luma](https://luma.com/tcjftauk) Warning: The meetup is not a platform for RSVP registration; for this, you need to follow [thisLink ](https://luma.com/tcjftauk)to purchase a registration ticket. The meetup is one of the platforms through which we offer participation in our events. **Startup Valley — Melbourne** A curated pitch night for startup founders, operators, angels and VC partners. We design these sessions to help founders sharpen their thinking through direct, candid feedback — and to give strong investors access to serious teams. **What happens:** • 4-8 startups pitch live and receive feedback from angels and VC partners • Feedback focuses on real decisions and next steps — not surface-level opinions • Investors stay in the room before and after pitches • The format leaves space for real conversations, not rushed networking • Attendance is limited to keep the room focused Designed for clear thinking, not noise. **Who you’ll meet:** * Startup founders * Angel investors and VC partners * Operators in marketing, sales, and tech * AI engineers * Local and international founders * AI Experts * Founders from Europe, Asia, and the United Kingdom **Practical details** **For investors:** We invite angel investors and VC partners to participate as judges and contributors. **To become a judge,** and get early access to our startups database, please fill out th[ the form](https://docs.google.com/forms/d/e/1FAIpQLSc8CVqvhQJu-AcclIF6PCuwjL4YpQt4w0FchGSoutRkt58v4g/viewform). Join the judge table, meet other investors, and see what teams are building early. Founders need your experienced view. **For pitching startups:** Startups selected to pitch will present live on stage and receive feedback from investors. **After purchasing a ticket:** Please[ submit your pitch deck](https://docs.google.com/forms/d/e/1FAIpQLSchcZr9gCNJh0RLiKBgbdbDBKEOc-92LNySkzHf8qGPHg5Wpg/viewform) and ensure it is open for viewers. **Agenda** **18:00 – 18:30** **Registration** Guests register, receive badges, and event programs. This is an opportunity for casual networking, making first connections, and preparing for the event. **18:30 – 19:30** **Event Kickoff & Interactive Networking** Official welcome from the organizers with a brief overview of the event goals and schedule. Interactive networking helps participants set their objectives and connect with key contacts. **19:40 – 20:20** **Startup Pitch Session** Startups present their projects to investors and experts. Each team has 5 minutes to pitch, covering the project's core idea, business model, and target market. **20:20 – 21:00** **Chill & Networking** Participants enjoy casual conversations with investors, discuss collaborations, and exchange ideas over refreshments.

Build Production-Ready AI Agents on AWS with Amazon Bedrock AgentCore

In this hands-on workshop, you'll go from zero to a fully deployed multi-agent system on AWS — no prior AgentCore experience needed. We'll build a real multi-agent research assistant, step by step: \- Deploy your first AI agent using the Strands framework and BedrockAgentCoreApp — running in the cloud in minutes \- Orchestrate multiple agents with the A2A \(Agent\-to\-Agent\) protocol\, a cloud\-agnostic standard that lets agents discover and call each other securely via IAM \- Connect external tools — wire in PubMed via MCP Gateway\, deploy a citation manager as a Lambda function\, and expose your own MCP server By the end you'll have a working orchestrator agent that routes queries to a search specialist, calls real APIs, and manages citations — all running on AgentCore Runtime with proper IAM permissions and CloudWatch observability. What to bring: \- Laptop with Python 3\.11\+ and AWS CLI installed \- An AWS account \(free tier works for most of the workshop\) Skill level: Intermediate — some Python and basic AWS familiarity helpful. No prior agent development experience required.

Tech Networking Event by Startup Valley
in Melbourne

**Attention attendees!** **To register, use** [Luma](https://luma.com/tcjftauk) Warning: The meetup is not a platform for RSVP registration; for this, you need to follow [thisLink ](https://luma.com/tcjftauk)to purchase a registration ticket. The meetup is one of the platforms through which we offer participation in our events. **Startup Valley — Melbourne** A curated pitch night for startup founders, operators, angels and VC partners. We design these sessions to help founders sharpen their thinking through direct, candid feedback — and to give strong investors access to serious teams. **What happens:** • 4-8 startups pitch live and receive feedback from angels and VC partners • Feedback focuses on real decisions and next steps — not surface-level opinions • Investors stay in the room before and after pitches • The format leaves space for real conversations, not rushed networking • Attendance is limited to keep the room focused Designed for clear thinking, not noise. **Who you’ll meet:** * Startup founders * Angel investors and VC partners * Operators in marketing, sales, and tech * AI engineers * Local and international founders * AI Experts * Founders from Europe, Asia, and the United Kingdom **Practical details** **For investors:** We invite angel investors and VC partners to participate as judges and contributors. **To become a judge,** and get early access to our startups database, please fill out th[ the form](https://docs.google.com/forms/d/e/1FAIpQLSc8CVqvhQJu-AcclIF6PCuwjL4YpQt4w0FchGSoutRkt58v4g/viewform). Join the judge table, meet other investors, and see what teams are building early. Founders need your experienced view. **For pitching startups:** Startups selected to pitch will present live on stage and receive feedback from investors. **After purchasing a ticket:** Please[ submit your pitch deck](https://docs.google.com/forms/d/e/1FAIpQLSchcZr9gCNJh0RLiKBgbdbDBKEOc-92LNySkzHf8qGPHg5Wpg/viewform) and ensure it is open for viewers. **Agenda** **18:00 – 18:30** **Registration** Guests register, receive badges, and event programs. This is an opportunity for casual networking, making first connections, and preparing for the event. **18:30 – 19:30** **Event Kickoff & Interactive Networking** Official welcome from the organizers with a brief overview of the event goals and schedule. Interactive networking helps participants set their objectives and connect with key contacts. **19:40 – 20:20** **Startup Pitch Session** Startups present their projects to investors and experts. Each team has 5 minutes to pitch, covering the project's core idea, business model, and target market. **20:20 – 21:00** **Chill & Networking** Participants enjoy casual conversations with investors, discuss collaborations, and exchange ideas over refreshments.

Women in Cloud - Building Resilient AI

We’re excited to bring our community together again — this time with a focus on **Building resilient AI**. As LLM-powered applications move from experimentation to production, a new challenge emerges: **how do we secure what we don’t fully understand yet?** In this session, we’ll explore two critical layers of AI defense—**protection** and **proactive testing**—through real-world practices and practical demos. **Topics** **1\. Shielding your LLMs with AWS Bedrock Guardrails** Ever felt like deploying an LLM is a bit like letting a genius but unpredictable intern talk to your customers? Join me as we explore how to move past the unregulated nature of unregulated AI using AWS Bedrock Guardrails. We’ll dive into the six pillars of AI safety and deploying guardrails to build AI that isn't just smart, but is fundamentally trustworthy and brand-safe. **About the speaker** [Maitreyi Singh](https://www.linkedin.com/in/maitreyisingh/) is a Data Scientist at [REA Group](https://www.realestate.com.au/), currently working on developing AI agents and intelligent systems. She has experience in Generative AI and enjoys exploring innovative applications of AI in real-world solutions. Outside of her professional work, Maitreyi enjoys painting as a creative hobby. **2\. Red Team Your LLM App Before the Bad Guys Do** As LLM-powered apps become more common, they're also becoming bigger targets. Prompt injection, jailbreaks, and harmful content exploits are real threats — and most developers don't discover them until it's too late. In this talk, we'll cover why guardrails are essential for any production LLM app, and why red teaming is one of the most effective ways to uncover vulnerabilities before bad actors do. We'll then put theory into practice with a live demo: a vibe-coded AI app on Amazon Bedrock, attacked using an open source red teaming tool — first without guardrails, then with them. The difference will speak for itself. **About the speaker** [Vanessa](https://www.linkedin.com/in/vanessa-kong-8069601a7/) is a Senior Product Security Engineer at [REA Group](https://www.realestate.com.au/) with five years of experience spanning cloud infrastructure security, security tooling and automation, and AI security. She specialised in building secure systems end-to-end, automating security workflows, wiring up tools to catch issues earlier in the pipeline, and exploring the evolving security challenges that come with AI-powered applications. She loves getting into the weeds of how things break — and helping people build them more securely. **Agenda** 5:30pm – Food and networking 6:00pm – Presentation 1. Shielding your LLMs with AWS Bedrock Guardrails 6:30pm – Presentation 2. Red Team Your LLM App Before the Bad Guys Do 7:00pm – Networking We’re incredibly grateful to our sponsor — [REA group](https://www.rea-group.com/) for supporting our community and making this event possible. Join us for an evening of learning, meaningful conversations, and great company, we can’t wait to see you there!

The Badminton Hub Coaching - Adults Monday INTERMEDIATE

Databricks User Group Melbourne, June Meetup [Hosted by Vivanti]

Join us for an engaging evening at the next Melbourne Databricks User Group Meetup! We have a great line up of speakers for the night who will be sharing their learnings from implementing Lakebase on Databricks as well as unpacking some of the latest feature announcements on the platform. **Speakers;** * **Shreya Sharma**, Solution Architect at Databricks: *A tour of Databricks' serverless Postgres for operational apps and AI agents and the headline features (branching, autoscaling, scale-to-zero, horizontal reads). Then a rundown of what's shipped in the last few months — Lakehouse Sync (Postgres → Delta CDC), scale-to-zero as the default, customer-managed encryption keys, and OTLP metrics/logs.* Why Attend? The Databricks User Group is your chance to: * **Learn from experts**: Hear about the latest Databricks developments and best practices directly from industry leaders and experienced practitioners. * **Network with peers**: Connect with other data professionals in Melbourne who are passionate about data, AI, and analytics. * **Share knowledge**: Engage in discussions, ask questions, and exchange ideas with other members of the community. Event Details: * **Venue Host**: Vivanti Consulting, Level 20, Tower Five, 727 Collins Street, Docklands, VIC 3008 * **Date:** Thursday 11th June, 2026 * **Timing**: 5:30pm-8pm * **Catering and Drinks provided** RSVP today to secure your spot and feel free to invite colleagues or friends interested in Databricks and data-driven innovation. We look forward to seeing you there!

Melbourne AI Enthusiasts x AI Engineer Melbourne — AI Week 2026

You've built the POC. Leadership loved it. Now what? The gap between a working AI demo and a production system is where most projects quietly die. This event tackles the hard part, the decisions that come after the proof of concept gets the green light. Hosted by Zendesk! **What we're covering:** 🏗️ Architecture decisions that don't show up in tutorials when to build, when to buy, when to stitch things together 💰 Cost and efficiency trade-offs, what it actually costs to run AI at scale, and how teams are managing it 🔒 Governance and guardrails, who owns the model in production, and what happens when it breaks 🎤 Talks, panel, and Q&A from practitioners who've shipped AI into production, not just theorised about it **Our panel of experts:** * Darragh Kennedy, Director - Software Engineering, Zendesk * Fernando Mourão, Head of Responsible AI, Seek * Brad Ryan, Chief AI Officer, i-screen, Ex AI Lead - AWS * Romina Sharifpour, AI Engineering Lead, CBA **Details:** 📅 Thursday 4 June 2026 🕕 6:00 – 8:30pm 📍 Zendesk Office Level 13/550 Bourke St, Melbourne VIC 3000 **Format:** Talks + Panel + Q&A (6:00–7:30pm) → Networking & drinks (7:30–8:30pm) This event is part of AI Week Melbourne (June 1–7) and is run in partnership with Web Directions / AI Engineer Melbourne. Whether you're an engineer wrestling with inference costs, a leader trying to get your AI strategy past the pilot stage, or just curious about what production AI actually looks like, this one's for you. Spots are limited. RSVP to secure yours.

June Community Night - Leon Poggioli and Sanam Makadia + Peter Lake

Hello friends, This month we will (finally!) be an entirely standalone community event, not for profit and volunteer run. We have booked a large event space in the Multicultural Hub across from Vic Market. Pizza and beverages will be graciously funded this month by Dragos, but we would really love to see other food and beverage sponsors in the future. **We can also really use additional volunteers to watch the door, help carry in food and drinks, or help with set up or clean up. Please send us a message if you're able to help.** This event will survive if people are involved and want to make it survive! Cheers, Lesley **Talk 1: A practical methodology to secure critical infrastructure** OT Cybersecurity is current in a “perfect storm scenario”. This is due to: ● Increased OT automation ● Increased regulation ● OT cyber maturity lags IT cyber maturity ● OT cyber risk impacts safety and production While many large organisations are well-resourced with dedicated teams, smaller organisations who aren’t able to appoint a dedicated OT Cybersecurity leader often struggle to deliver an effective OT Cybersecurity uplift program. This talk outlines why practical, lightweight approaches to complicated scenarios suit most critical infrastructure organisations and how such an approach would work in practice. **Speaker:** Leon Poggioli is the founder of NetSeg, an advisory organisation focused on consulting around OT Cybersecurity Strategy and Program Development. He founded NetSeg after recognising that many organisations with OT Cybersecurity obligations don’t have the necessary knowledge and experience to drive a program which requires different capabilities and stakeholders than IT Cybersecurity programs require. OT Cybersecurity is in a “perfect storm” - with increased OT automation and connectivity increasing the attack surface, increased regulations, not to mention the fact that any organisation with an OT network likely relies on that network to conduct their core business! Before founding NetSeg, Leon was the Australia New Zealand Country Manager for Claroty, one of the Gartner leaders for CPS (Cyberphysical Systems) Protection Platforms, and worked with a wide range of Australian and New Zealand organisations to drive their programs using Claroty’s technology. Leon also has a YouTube channel @NetSeg_IO where he shares short-form videos on a range of OT Cybersecurity topics. He has also been featured several times on Australian television and talkback radio. **Talk 2: Managing a Crisis in Critical Infrastructure -** **Incident Command System** Critical infrastructure is increasingly exposed to cyber-physical threats impacting essential services like energy, water, and transportation. This session introduces ICS4ICS, a proven incident response framework adapted for Industrial Control Systems (ICS) and Operational Technology (OT). It enables IT, OT, and cybersecurity teams to collaborate with clear roles, shared language, and coordinated response during high-impact incidents. Attendees will gain practical insights into managing cyber incidents that can escalate into physical disruptions, improving resilience and response effectiveness. Designed for cyber, natural, and accidental events, ICS4ICS supports cross-sector and public-private coordination. **Speakers:** Sanam Makadia • Cyber Security Architect and Advisor • Thought leader and advisor with more than 2 decades of experience in design, consulting, architecture, Risk and Governance • Interest in topics such as Cyber strategy, GRC, operational technology/industrial control systems (OT/ICS) and robotics & artificial intelligence (AI) Peter Lake • Cybersecurity Strategy Lead and CTF coach • Passionate about capacity building for neurodivergent young people, coaching, and building Cybersecurity career pathways. • Keen interest in critical infrastructure, space cyber awareness, incident response and management.

Melbourne Biz Apps User Group | Launch Event

**Join us at the Melbourne Biz Apps User Group: Launch Event!** 🎉 We've been working hard behind the scenes, and the day is finally here. Come celebrate the launch of Melbourne's newest Biz Apps community with us. **🎤 Featured Session: Vendor Onboarding Agent with Copilot Studio** *Presented by Dharanidharan - Microsoft MVP, Engineering Lead* Vendor onboarding is one of those processes that quietly eats hours — manual document checks, back-and-forth approvals, risk assessments done in spreadsheets. There's a better way. Dharanidharan will walk us through how to build an enterprise-grade AI agent that handles vendor onboarding end-to-end, from document upload through to automated risk assessment and manager and compliance approvals. Everything tracked. Everything auditable. **Built using:** * Copilot Studio for conversational onboarding * AI Builder for automated document extraction * Power Automate for risk scoring and approvals * Dataverse and model-driven apps for full auditability This is a reusable pattern for anyone working with document-heavy, compliance-driven processes. Real architecture. Real implementation. **⚡ AI Bytes** Before we dive in, we've got some fun community activities lined up to get you inspired, warmed up, and ready to geek out. Come ready to participate! **🍕 Food, Drinks and Networking** Good food, good drinks, and good people, and we'll have plenty of time on the night to mingle, connect, and meet your fellow Biz Apps practitioners in Melbourne. **This event is for you if you:** * Work in Power Platform, Dynamics 365, or Copilot Studio * Want to see how AI agents are being built in the real world * Are curious about intelligent automation at enterprise scale * Just want to meet other Biz Apps practitioners in Melbourne We can't wait to see you there! 🙌

AI: More Moral Than Us?

**Why the Question Matters for Alignment, Moral Progress, and Long Term Flourishing** Practically nobody in alignment wants to say it out loud. So let’s say it: *AI might turn out to be* ***[more moral than us](https://www.scifuture.org/more-moral-than-us/)***. Now – why does that feel like a dangerous thing to claim? The question is not whether AI can match human moral reasoning. The question is whether that’s even worth bragging about. The idea of AI being more moral than humans is a real taboo in some circles. Many alignment researchers are uncomfortable with the idea because it seems to smuggle in the assumption that AI could have genuine moral agency, which conflicts with deflationary views of LLMs as “stochastic parrots” – and also because it sounds uncomfortably close to AI-worship or motivated reasoning for deferring to AI. Invoking this idea could get one dismissed as naive or as an actual safety risk oneself. *It’s also epistemically risky.* *More moral* – but in what sense? Knowing more facts relevant to ethics? Drawing better inferences from values? Applying principles wisely in context? Actually being *moved* by moral considerations, rather than just computing them? These aren’t the same thing. Conflating them produces both overclaiming and underclaiming – and most of the bad arguments on both sides of this debate do exactly that.[1](https://www.scifuture.org/why-are-we-afraid-to-ask-whether-ai-could-be-more-moral-than-humans/#6ebcc18c-d890-4a28-8b01-27945a532c66) An AI could plausibly exceed humans on moral knowledge, reasoning and even judgement without having anything like moral motivation. Collapsing these leads to both overclaiming and underclaiming. Clear distinctions between stuff like moral judgement and moral motivation makes the conversation tractable. Is it dangerous for public discourse? There’s a genuine risk that the framing gets weaponised – either by people wanting to justify AI authority over human decisions, or by critics who use it to paint alignment researchers as unhinged techno-utopians. It can also trigger motivated reasoning in both directions. A lot more could be said here. But the taboo is not protecting us from a dangerous question. It’s protecting us from the answer. The taboo itself is epistemically costly, yet if we ***refuse to ask*** whether AI could have better-grounded moral reasoning than humans, we prevent getting to the heart of the issue. ## **The questions worth asking** Before thoroughly assessing whether AI could be more moral than humans, we need to ask whether the question is even coherent. ### Alignment targeting and verification *What should AI align to?* Is morality a cohesive alignment target, or a family of overlapping intuitions that only look unified from a distance? And if there is a *fact of the matter* about moral improvement, *how would we know we were tracking it* – rather than simply laundering our current preferences with extra steps? More pressingly: what would it mean to *verify* that an agent has better moral judgement than us, given that we’re the ones doing the evaluating? This is the bootstrapping problem. We cannot step outside our own moral reasoning to assess a system that exceeds it. That isn’t a reason to stop asking – it’s a reason to ask more carefully.[2](https://www.scifuture.org/why-are-we-afraid-to-ask-whether-ai-could-be-more-moral-than-humans/#114785ab-004c-4882-b8c8-c0437942e9ec) ### The motivational gap Even if the epistemic questions could be resolved, a deeper problem remains: most human moral failure isn’t a failure of *reasoning*. It’s a failure of *motivation*. If humans are themselves imperfectly morally motivated, what does alignment to human preferences actually track? Not moral truth – at best, some weighted average of moral intuitions, distorted by power, attention, and self-interest. How much of human moral failure is motivational rather than epistemic? More than we tend to admit. We frequently know what the right thing is and fail to do it anyway – which means a system that merely reasons better about ethics hasn’t addressed the failure mode that actually matters most. And this raises the hardest question in the cluster: is moral motivation necessarily tied to phenomenal experience – to there being something it is *like* to care? Or could a system be genuinely motivated by moral considerations without felt engagement? Can motivation be grounded without being felt? ### The systemic stakes Finally, there are second-order questions that rarely get asked – about what happens to *us* if AI gets this right. Does sustained deference to AI moral judgement atrophy human moral reasoning capacity? And if so, what are the systemic risks of that atrophy – not just for individuals, but for the collective processes through which moral knowledge has historically developed? (There is recent work on comparative moral Turing Tests that begins to take this seriously[3](https://www.scifuture.org/why-are-we-afraid-to-ask-whether-ai-could-be-more-moral-than-humans/#6efcb4e9-295e-425c-8860-40f415ef4935)) Moral progress for humans has never been a purely individual achievement. It has happened through argument, conflict, revision, and hard-won consensus across generations. A system that resolves moral questions faster than humans can engage with them might not accelerate that process. It might short-circuit it entirely. I think asking these questions Socratically can help nudge the conversation into the open productively rather than letting it fester as an unexamined assumption. Also I think this line of questioning isn’t just intuition pump fodder, I think they are directly important to the project of AI alignment.[4](https://www.scifuture.org/why-are-we-afraid-to-ask-whether-ai-could-be-more-moral-than-humans/#13e5d2e0-79f6-42fc-8d1e-fcae403c2f6b) > Refusing to ask whether AI could exceed human moral reasoning doesn’t make the question safe. It just means we’ll answer it by accident, badly, and too late. Handled carelessly, this question causes damage. Left unasked, it causes more. ## Footnotes 1. The claim is easy to make sloppily. “More moral” conflates several things that need to be separated: a) Moral knowledge (knowing more facts relevant to ethics) b) Moral reasoning (drawing better inferences from values) c) Moral judgement (applying principles wisely in context) d) Moral motivation (actually being moved by moral considerations – which is one of my core focus points of activism) [↩︎](https://www.scifuture.org/why-are-we-afraid-to-ask-whether-ai-could-be-more-moral-than-humans/#6ebcc18c-d890-4a28-8b01-27945a532c66-link) 2\. This was brought up in an interview with Nick Bostrom [↩︎](https://www.scifuture.org/why-are-we-afraid-to-ask-whether-ai-could-be-more-moral-than-humans/#114785ab-004c-4882-b8c8-c0437942e9ec-link) 3\. See Eyal Aharoni’s and Danica Dillion’s work on Moral Turing Tests – presentations and interviews [here](https://www.scifuture.org/eyal-aharoni-breaking-the-moral-turing-test-studies-of-human-attribution-and-deference-to-ai-moral-judgment-and-decision-making/), [here](https://www.scifuture.org/ai-outscored-humans-in-a-blinded-moral-turing-test-should-we-be-worried-dr-eyal-aharoni-explains/) and [here](https://www.scifuture.org/danica-dillion-ais-moral-compass-better-than-expected-now-what/). [↩︎](https://www.scifuture.org/why-are-we-afraid-to-ask-whether-ai-could-be-more-moral-than-humans/#6efcb4e9-295e-425c-8860-40f415ef4935-link) 4\. The grounded values approach actually requires asking questions like: – What should AI align to?, Is morality a cohesive alignment target?, is there a fact of the matter about moral improvement, or is “more moral” just “more aligned with our current intuitions”? – What would it mean to verify that an agent has better moral judgement than us, given that we’re the ones doing the evaluating? (see work one recently on comparative moral Turing Tests) – If humans are themselves imperfectly morally motivated, what does alignment to human preferences actually track? – How much of human moral failure is motivational versus epistemic? – Is moral motivation necessarily tied to phenomenal experience, or could a system be genuinely motivated by moral considerations without anything it’s like to be it? – Can motivation be grounded without being felt? – Does sustained deference to AI moral judgement atrophy human moral reasoning capacity, and what are the systemic risks of that atrophy – both for individuals and for the collective processes through which moral knowledge has historically developed? Also see: **[Why Are We Afraid to Ask Whether AI Could Be More Moral Than Humans?](https://www.scifuture.org/why-are-we-afraid-to-ask-whether-ai-could-be-more-moral-than-humans/)**