Keynote: Raising the Bar on the Ethical Use of Data in Government at the ArabNet Digital Summit 2018
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The document emphasizes the ethical use of data in government, highlighting the need for transparency, accountability, and public interest in data management. It discusses the challenges of data sharing, including concerns over privacy, bias, and the risks of data hoarding. Additionally, it suggests a stronger regulatory framework to ensure responsible data practices and protect individual rights.
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Keynote: Raising the Bar on the Ethical Use of Data in Government at the ArabNet Digital Summit 2018
- 1. Raising the Bar on the Ethical Use of Data in Government Linda Gibbs, Principal 05.01.18 ArabNet Digital Summit – Smart Economy Forum
- 2. Because who doesn’t love Dilbert? ArabNet Digital Summit – Smart Economy Forum| 05/01/18 2
- 3. My Point Of View: Government has an affirmative obligation to make use of data 3 • Government that is transparent and accountable • Relies on evidence to guide action • Committed to improvement in the public interest ArabNet Digital Summit – Smart Economy Forum| 05/01/18
- 4. 4 ArabNet Digital Summit – Smart Economy Forum| 05/01/18
- 5. Government sits on troves of administrative data – an untapped resource 5 • Data collection is ubiquitous • Data is highly reliable when used to verify eligibility • Data is full of knowledge ArabNet Digital Summit – Smart Economy Forum| 05/01/18
- 6. 6 ArabNet Digital Summit – Smart Economy Forum| 05/01/18
- 7. But data is rarely shared. 7 • Time and effort to make it available • Expertise to open it for use • Cost associated with building the architecture • Risks associated with data breaches • Lawyers who say no • Data “owners” who hoard data for power and control • Administrators who are averse to sharing facts • Increasing concern of perpetuating bias ArabNet Digital Summit – Smart Economy Forum| 05/01/18
- 8. 8 ArabNet Digital Summit – Smart Economy Forum| 05/01/18
- 9. Data as a Public Good 9 • Culture shift from data hoarding to data sharing • Data as a public good – clean and open data in the public interest • Inclusive governance and clear communication • Privacy and protection as paramount — De-identification — System security • Acknowledging and addressing bias is key ArabNet Digital Summit – Smart Economy Forum| 05/01/18
- 10. 10 ArabNet Digital Summit – Smart Economy Forum| 05/01/18
- 11. Data Science has not helped the cause. 11 • Lack of transparency • Users lack access to their own data • Privacy has not been protected • Bias in, bias out • Ubiquity can terrify • Lack of trust ArabNet Digital Summit – Smart Economy Forum| 05/01/18
- 12. 12 ArabNet Digital Summit – Smart Economy Forum| 05/01/18
- 13. Algorithms with a life of their own. 13 • Bias in the data reflects and amplifies bias in life • Surrogate indicators not good enough • Statistical rigor and rigidity of data • Automated action • Rush to market, predatory uses • Surveillance effects magnified ArabNet Digital Summit – Smart Economy Forum| 05/01/18
- 14. 14 ArabNet Digital Summit – Smart Economy Forum| 05/01/18
- 15. Ethical Use of Data 15 • Accuracy - Power of sunlight to cleanse data • User Control - Access and options • Privacy Protections - Systems security and legal protections • Transparency - Clearly document methodologies, publish data sets and research questions • Integrity- Good questions, question causal justification, and careful interpretations of answers • Diversity among programmers- Lived experience ArabNet Digital Summit – Smart Economy Forum| 05/01/18
- 16. 16 ArabNet Digital Summit – Smart Economy Forum| 05/01/18
- 17. Ethical Use of Data - Algorithms 17 • Adequate Math - Statistical rigor on sample size • Data Relevance - No lazy surrogates • Careful testing and narrow application • Constant Data Refresh – to learn and adapt • Awareness of bias and surveillance effects • Decision support not decision maker • Open methodology and available redress ArabNet Digital Summit – Smart Economy Forum| 05/01/18
- 18. 18 ArabNet Digital Summit – Smart Economy Forum| 05/01/18
- 19. Do we need a stronger regulatory framework? 19 • Government action where there is market failure • Where failure occurs, is there strong enough self regulation? (eg Data for Good Code of Ethics) • Are public interests such that government action is necessary? (essential right to privacy and due process) • Government action – Data Standards, Algorithm Audits, comprehensive regulatory frameworks ArabNet Digital Summit – Smart Economy Forum| 05/01/18
Editor's Notes
- #2: NEXT
- #3: Introductions – BA Former DM HHS NYC History at agency level in child welfare and homelessness, City Hall domain
- #4: Experience across those years – Good intentions enough Reluctance to be measured by outcomes Need to move to use of data to guide practice and inform results
- #5: The world of data has changed in one generation Private innovation in use of data has been remarkable Government data practices have not changed with it
- #6: We need pathways to open up the use of data But it is challenging
- #7: There are no clear set of standard practices that governments trust to create that path
- #8: It requires expertise, time and money to make it happen The power sits in the hands of those least likely to want to take the risk – the programs themselves
- #9: And we face a public increasingly skeptical about our intentions
- #10: So what will it take to move the culture? define as a public good – a treasured resource that government has a responsibility to unleash But must be based on integrity of data themselves And integrity of process which must involve stakeholders With utmost attention to privacy And commitment to preventing unintended consequences and undoing bias
- #11: Data science has not always been helpful to us
- #12: In the hands of private market interests How’d they know that??? Feeling like every step is watched Don’t know who has what or how to cut the link It has often been insensitive or outright biased (like apps to rate “beauty”) All creating deep lack of trust
- #13: And it shows up in scary ways
- #14: Increasingly putting algorithms in charge of decision making Formula not clear – probabilistic associations, sample size Individuals don’t know how results were achieved and have no power of redress to challenge or correct
- #15: Private sector products adopted by government decision makers without fully understanding what drives the methodology
- #16: Read from slide
- #17: An informed consumer facilitates trust
- #18: And data scientists need to be leaders in ensuring ethical use of data – for government use and for private sector use One informs the other and they are interrelated If private sector employs poor or abusive practices, everyone suffers Read form slide
- #19: Practitioners need to lead the way – we need a professional code of ethics
- #20: And if we don’t we will surely get more governmental regulation This can be good and necessary But it can be a rough tool and can stifle innovation Watching implementation of EU standards which became effective last week And the fall out from Facebook and Equifax To see what government needs to do. Minimally need to take strong, clear, values based action in the private sector regardless, and how the world of data science respects these concerns will be carefully watched