About this session
Responsible AI at work is not just a policy question.
It appears in ordinary decisions: whether to paste information into an AI assistant, whether an AI-generated summary can be trusted for a high-stakes meeting, whether customers or colleagues should know AI was involved, whether a generated image or paragraph can safely be reused and whether an automated recommendation deserves to influence a consequential decision.
Participants begin with accountability. AI can generate, summarize, classify, recommend and automate, but it does not take responsibility for the outcome.
Employees remain responsible for how AI is used within their role, what information they provide, what they do with the output and when they seek additional review. The level of care should increase as the potential consequence increases.
The session then explores the practical boundaries that protect people and organizational trust: confidentiality, personal information, transparency, fairness, accessibility, intellectual-property awareness and appropriate disclosure.
Participants learn to distinguish low-risk experimentation from situations that require approved tools, additional controls or specialist involvement.
Finally, participants turn responsible-AI principles into everyday habits. They use practical checks before, during and after AI-assisted work, identify when a task should remain human-led and build clearer escalation and learning practices when something goes wrong.
The objective is not to make employees afraid of AI. It is to create enough judgment and confidence that useful AI adoption does not outpace accountability.
What your people take away
- Recognize that responsibility for workplace decisions and outputs remains with people, even when AI contributes
- Match the level of human review and control to the potential consequence of the AI-assisted task
- Protect confidential, personal and sensitive information when using workplace AI tools
- Recognize transparency, fairness, accessibility and intellectual-property considerations before AI output is used
- Know when an AI use case requires additional approval, specialist advice or escalation
- Build repeatable responsible-AI habits that support useful experimentation without weakening organizational trust
Shared with you
See the full session
Create your free Workbliss profile to see the rest of this outline and book it. It takes a minute, with your work email.
- What each length covers, 30 minutes to full day
- Everything that’s covered, part by part
- Book online, and browse 1,500+ more sessions for your teams
Already a member? Sign in
What each length covers
30 minutes
30 Minutes — Key Points: Know What You Are Responsible ForA focused 30-minute session on three key points from Know What You Are Responsible For: AI can assist — it cannot own the outcome, match care to consequence and know the tool & the context.
- AI can assist — it cannot own the outcome
- Match care to consequence
- Know the tool & the context
Covers 3 of 4 points in Know What You Are Responsible For.
60 minutes
Use AI With Better JudgmentA focused introduction to responsible workplace AI. Participants assess everyday AI uses through accountability, information sensitivity, consequence, transparency and human-review requirements and leave with a practical Responsible AI Check.
- Human accountability
- Appropriate AI use
- Risk and consequence
- Approved tools
- Confidential information
- Personal information
- Transparency
- Human oversight
- Fairness awareness
- Escalation
- Responsible AI Check
- Live Q&A
Covers 1 of 4 parts: Know What You Are Responsible For.
90 minutes
From Useful AI to Responsible AIThe extended session follows the complete responsible-use decision from task selection and information handling through transparency, fairness, human oversight, content rights, escalation and safe workplace experimentation.
- AI accountability
- Risk classification
- Approved use
- Confidentiality
- Personal information
- Security awareness
- Transparency
- Fairness
- Accessibility
- Content provenance
- Intellectual-property awareness
- Human oversight
- Meaningful review
- Uncertainty
- Escalation
- AI incidents
- Safe experimentation
- Live Q&A
Covers 2 of 4 parts: Know What You Are Responsible For and Protect People, Information & Trust.
3 hours
Covers 3 of 4 parts: Know What You Are Responsible For, Protect People, Information & Trust and Keep Humans Meaningfully in Control.
Full day
Responsible AI at Work Application LabA hands-on full-day workshop covering all four modules. Participants examine realistic workplace AI use cases, classify risk, make information-handling decisions, design appropriate human review and work through transparency, fairness and escalation scenarios.
- Module 1 — Know What You Are Responsible For
- Module 2 — Protect People, Information & Trust
- Module 3 — Keep Humans Meaningfully in Control
- Module 4 — Turn Responsible AI Into Everyday Practice
- AI Use-Case Risk Scan
- Consequence Mapping
- Sensitive Information Exercise
- Transparency Decision Lab
- Fairness & Inclusion Review
- AI Content Provenance Scenario
- Human Oversight Design
- Meaningful Review Test
- Uncertainty Exercise
- Escalation Decision Practice
- AI Incident Scenario
- Responsible AI Action Plan
- Live Q&A
Covers all 4 parts.
Also available as a 4-week or 8-week program, for change that lasts. Ask us about it.
What’s covered
Know What You Are Responsible For
Every length- AI can assist — it cannot own the outcomeParticipants examine the difference between delegating work to an AI system and delegating accountability.
- Match care to consequenceA draft agenda and a recommendation affecting somebody's employment do not require the same controls.
- Know the tool & the contextParticipants consider whether they are using an employer-approved tool, what information the organization permits them to enter and whether the system is suitable for the task.
- Know when to stop & escalateSome situations exceed the employee's authority or expertise.
Protect People, Information & Trust
90 minutes and longer- Protect confidential & personal informationParticipants examine why customer information, employee information, commercially sensitive material, credentials, unreleased strategy and other restricted content require particular care.
- Use transparency purposefullyNot every minor AI-assisted edit requires a declaration, while some contexts make AI involvement materially relevant.
- Look for fairness & accessibility risksAI outputs can reproduce stereotypes, exclude perspectives or work unevenly across populations.
- Respect content, sources & ownershipParticipants develop practical awareness that AI-generated text, images, code or analysis can raise questions about source material, attribution, permissions and ownership.
Keep Humans Meaningfully in Control
3 hours and longer- Make human review realA human-in-the-loop control is weak if the reviewer simply clicks approve without enough time, expertise or evidence to challenge the output.
- Review in proportion to riskParticipants create different review expectations for low-consequence drafting, internal analysis, external customer communication and higher-consequence recommendations.
- Do not automate the responsibility awayEfficiency pressure can encourage teams to remove human involvement simply because a workflow can technically be automated.
- Handle uncertainty openlyParticipants learn to distinguish what is known, what the AI suggests and what still requires verification or judgment.
Turn Responsible AI Into Everyday Practice
Full day only- Use a responsible-AI check before you beginParticipants build a practical pause before AI use: What is the task?
- Document when the stakes require itHigher-consequence AI-assisted work may require clearer records of sources, assumptions, review or approval.
- Learn from incidents & near missesA responsible AI culture should learn when a prompt exposes sensitive information, an output creates a misleading impression, a workflow produces unexpected bias or a control nearly fails.
- Build confident responsible useResponsible AI is not the absence of experimentation.
Tools and materials
- Responsible AI Pre-Use Check
- AI Use-Case Risk Scan
- Consequence Mapping Guide
- Sensitive Information Check
- Transparency Decision Guide
- Fairness & Inclusion Review
- AI Content Provenance Check
- Human Oversight Planner
- Meaningful Review Test
- AI Uncertainty Check
- Responsibility & Escalation Map
- Stop / Review / Proceed Decision Guide
- AI Incident & Near-Miss Review
- Safe Experimentation Planner
- Responsible AI Workplace Playbook
Who it’s for
- Employees using generative AI or AI-enabled workplace tools in their everyday work
- Managers responsible for guiding appropriate AI use across teams
- HR, Learning & Development and People teams supporting responsible AI adoption
- Customer-facing teams using AI to draft, summarize, analyze or support customer interactions
- Professional, operational and corporate teams introducing AI into established workflows
- Organizations seeking a practical responsible-AI foundation before teams move into more advanced AI adoption
How booking works
- Book online. Create a free Workbliss profile, then pay with session credits, by card or by invoice.
- Pick a date. Choose a date at least 14 days ahead, or book now and set the date later. Need it sooner? Email hello@workbliss.ai and we’ll see what we can do.
- Choose your expert. Within 3 working days, we send you profiles of the experts available for your date.
- We deliver it. Your expert is briefed on your people and goals, then runs the session live online or at your site.
Questions about AI You Can Stand Behind: Responsible & Ethical AI at Work
How long is AI You Can Stand Behind: Responsible & Ethical AI at Work?
AI You Can Stand Behind: Responsible & Ethical AI at Work runs as 30 minutes, 60 minutes, 90 minutes, 3 hours or full day. You choose the length when you book. A 30-minute session covers three key points from Know What You Are Responsible For: AI can assist — it cannot own the outcome, match care to consequence and know the tool & the context. A 60-minute session covers Know What You Are Responsible For in full, with a live Q&A. A 90-minute session adds Protect People, Information & Trust. A 3-hour session adds Keep Humans Meaningfully in Control. A full-day session adds Turn Responsible AI Into Everyday Practice. It is also available as a 4-week or 8-week program.
Can AI You Can Stand Behind: Responsible & Ethical AI at Work be delivered online or in person?
Yes, both. It runs live online, so every office can join at the same time, or in person at your site, in any country.
How do we book AI You Can Stand Behind: Responsible & Ethical AI at Work?
Create a free Workbliss profile with your work email, then open AI You Can Stand Behind: Responsible & Ethical AI at Work to see the price for each length and book it. You can pay with session credits, by card or by invoice, and choose a date at least 14 days ahead, or set it later. Need it sooner? Email hello@workbliss.ai and we’ll see what we can do.
Who leads the session?
A vetted Workbliss expert, briefed on your people, culture and goals before the session. After you book, we send you profiles of the experts available for your date within 3 working days, so you can choose who leads it.
Can it be tailored to our company?
Yes. Every session is shaped around your goals, your people and the benefits you already offer, and delivered by experts in your people’s languages.