@mokithelight

Privacy and Information Security Professional | soft woman🍀

 Tallinn, Estonia
medium.com/@tolul/
Joined March 2018
  • Tweets1.7K
  • Following320
  • Followers145
32Media
What tasks should AI be trusted with, and when should humans remain involved? Designing those decision rights is one of the defining challenges of the AI era. Researchers at the MIT Center for Information Systems Research have developed a framework to help. Learn more: bit.ly/4zed20M
This image is an informational chart titled "The AI Decision Matrix" from MIT Sloan School of Management. It is a grid with axes labeled "Ambiguity" (vertical) and "Risk" (horizontal). The four quadrants are labeled: Exploratory (high ambiguity, low risk), Strategic (high ambiguity, high risk), Routine (low ambiguity, low risk), and Consequential (low ambiguity, high risk). Each quadrant describes an approach and decision type and includes recommended levels of human and AI involvement in decision-making. A legend at the bottom specifies decision components and participants, with icons for human and AI. Adaptation credit is given to authors and publication details at the bottom right.

ALT This image is an informational chart titled "The AI Decision Matrix" from MIT Sloan School of Management. It is a grid with axes labeled "Ambiguity" (vertical) and "Risk" (horizontal). The four quadrants are labeled: Exploratory (high ambiguity, low risk), Strategic (high ambiguity, high risk), Routine (low ambiguity, low risk), and Consequential (low ambiguity, high risk). Each quadrant describes an approach and decision type and includes recommended levels of human and AI involvement in decision-making. A legend at the bottom specifies decision components and participants, with icons for human and AI. Adaptation credit is given to authors and publication details at the bottom right.

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Tolulope retweeted
Privarly@PrivarlylearnOct 14
Want to understand what privacy work actually involves? Start with one practical task that interests you. Privarly’s guided labs let you explore the work before choosing a direction. You can start for free. 1/5
🤖 Made with AI
explore privacy work through practice

ALT explore privacy work through practice

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Completed @Privarlylearn's Project Horizon: Multi-Jurisdictional Privacy Assessment capstone, acting as a Privacy Analyst for a simulated biotech company expanding from the EU into the US and Japan. 1/5
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5. Preparing stakeholder briefings, a board presentation outline and an executive summary to support an informed go/no-go decision. The capstone brought together legal research, privacy risk assessment, and practical business planning in one end-to-end simulation. 5/5
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Super cool way to gain practical privacy & data protection skills with a portfolio to show for it!
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Tolulope retweeted
Privarly@PrivarlylearnOct 11
Privacy work includes records, requests, assessments, policies and difficult decisions. Privarly gives you guided labs and career paths to practise the work. Explore: privarly.com/

Privarly | Privacy theory gets you certified. Practice gets you hired

The hands on training platform for Data Protection and AI Governance careers. Real casework, granular feedback, and credentials built on work you actually did.

privarly.com
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Tolulope retweeted
Privarly@PrivarlylearnOct 13
Operations, analysis, programme management, legal strategy, engineering, AI governance or DPO work? Explore seven privacy career tracks and find the tasks that interest you. privarly.com/careers

Privacy Career Paths | Privarly

Explore seven privacy career tracks — from Privacy Operations Associate to DPO and AI Governance Lead — each with modules, labs, and a capstone assessment.

privarly.com
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Tolulope retweeted
Privarly@PrivarlylearnOct 13
Which privacy task would you like more practice doing: screening a project, assessing legitimate interests, writing a DPIA, reviewing a transfer, or maintaining a risk register?
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follow @Privarlylearn 😁
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Tolulope retweeted
AISecHub
@AISecHubOct 7
aibcf.org/controls/ - AI Baseline Control Framework Manage & govern AI use in your organization The AI Baseline Control Framework (AI BCF) is a free, open framework of 20 AI governance controls for organizations that deploy (use) AI. Each control is mapped to the NIST AI RMF, ISO/IEC 42001 and the EU AI Act. The AI BCF helps organizations of all sizes understand what is necessary to manage & govern AI deployment.
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Just completed the lab "AI Impact Assessment" on Privarly: career-focused privacy training. privarly.com/labs/ai-impact-…

Privarly | Privacy theory gets you certified. Practice gets you hired

The hands on training platform for Data Protection and AI Governance careers. Real casework, granular feedback, and credentials built on work you actually did.

privarly.com
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Just completed the foundation module "AI Governance Foundations" on Privarly: building real privacy skills. privarly.com/modules/ai-gove…

Privarly | Privacy theory gets you certified. Practice gets you hired

The hands on training platform for Data Protection and AI Governance careers. Real casework, granular feedback, and credentials built on work you actually did.

privarly.com
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what a nightmare 😣
Sky News
@SkyNewsOct 6
BREAKING: ASOS customers have received a push notification saying the e-commerce giant had been 'hacked' Sky's Phoebe Southworth has the details. qrcode.skynews.com/skynews/A…
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At the cafe, I made my order entirely in German and then had a nice conversation with the waiter all in German and I’m sooooo proud of myself😄
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Studying cybersecurity while working in privacy has made me think differently about privacy controls. Lawyers naturally start with obligations, security folks often start with threats, engineers start with systems. Good privacy engineering requires all three perspectives.
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another opportunity to hike and reflect on living.
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walked 16k steps on this day and collected some trash on the trail.
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